_ | shot | _ |
360° from a Single Camera: A Few- | shot | Approach for LiDAR Segmentation |
3D Compositional Zero- | shot | Learning with DeCompositional Consensus |
3D curvature analysis with a novel one- | shot | technique |
3FabRec: Fast Few- | shot | Face Alignment by Reconstruction |
4D Effect Video Classification with | shot | -Aware Frame Selection and Deep Neural Networks |
Absolute phase mapping for one- | shot | dense pattern projection |
Accordion Representation Based Multi-Scale Covariance Descriptor for Multi- | shot | Person Re-Identification |
Accurate and fast single | shot | multibox detector |
Accurate Few- | shot | Object Detection with Support-Query Mutual Guidance and Hybrid Loss |
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One- | shot | |
ACMM: Aligned Cross-Modal Memory for Few- | shot | Image and Sentence Matching |
ACNet: Approaching-and-Centralizing Network for Zero- | shot | Sketch-Based Image Retrieval |
Acquiring a Dynamic Light Field through a Single- | shot | Coded Image |
AcroFOD: An Adaptive Method for Cross-Domain Few- | shot | Object Detection |
Action Key Frames Extraction Using L1-Norm and Accumulative Optical Flow for Compact Video | shot | Summarisation |
Active Exploration of Multimodal Complementarity for Few- | shot | Action Recognition |
Active One- | shot | Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture |
Active Transfer Learning with Zero- | shot | Priors: Reusing Past Datasets for Future Tasks |
Activity Based Video | shot | Retrieval and Ranking |
Activity-aware Attributes for Zero- | shot | Driver Behavior Recognition |
ActorsNeRF: Animatable Few- | shot | Human Rendering with Generalizable NeRFs |
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few- | shot | Interactions |
Adaptation-Oriented Feature Projection for One- | shot | Action Recognition |
Adaptive adversarial prototyping network for few- | shot | prototypical translation |
Adaptive Agent Transformer for Few- | shot | Segmentation |
Adaptive Anchor Label Propagation for Transductive Few- | shot | Learning |
Adaptive Bias-Aware Feature Generation for Generalized Zero- | shot | Learning |
Adaptive Confidence Smoothing for Generalized Zero- | shot | Learning |
Adaptive Edge-Oriented | shot | Boundary Detection |
Adaptive Embedding Network with Spatial Constraints for the Use of Few- | shot | Learning in Endangered-Animal Detection, An |
Adaptive Feature Interpolation for Low- | shot | Image Generation |
Adaptive Focal Loss Function Based on Transfer Learning for Few- | shot | Radar Signal Intra-Pulse Modulation Classification, An |
Adaptive Image Transformer for One- | shot | Object Detection |
Adaptive Local-Component-aware Graph Convolutional Network for One- | shot | Skeleton-based Action Recognition |
Adaptive manifold for imbalanced transductive few- | shot | learning |
Adaptive Margin Diversity Regularizer for Handling Data Imbalance in Zero- | shot | SBIR |
Adaptive Metric Learning For Zero- | shot | Recognition |
Adaptive Prototype Learning and Allocation for Few- | shot | Segmentation |
Adaptive reference frame selection for near-duplicate video | shot | detection |
Adaptive Subspaces for Few- | shot | Learning |
Adaptive Transformers for Robust Few- | shot | Cross-domain Face Anti-spoofing |
AdarGCN: Adaptive Aggregation GCN for Few- | shot | Learning |
Addressing Target Shift in Zero- | shot | Learning using Grouped Adversarial Learning |
Adversarial Feature Augmentation for Cross-domain Few- | shot | Classification |
Adversarial Feature Hallucination Networks for Few- | shot | Learning |
Adversarial Learning for Zero- | shot | Domain Adaptation |
Adversarial Meta-Training Framework for Cross-Domain Few- | shot | Learning, An |
Affect-DML: Context-Aware One- | shot | Recognition of Human Affect using Deep Metric Learning |
Aggregated-Attention Deformable Convolutional Network for Few- | shot | SAR Jamming Recognition |
Aggregating Bilateral Attention for Few- | shot | Instance Localization |
AGSS-VOS: Attention Guided Single- | shot | Video Object Segmentation |
AGUnet: Annotation-guided U-net for fast one- | shot | video object segmentation |
AirDet: Few- | shot | Detection Without Fine-Tuning for Autonomous Exploration |
AKFNET: An Anatomical Knowledge Embedded Few- | shot | Network for Medical Image Segmentation |
AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few- | shot | Hyperspectral Image Classification |
Aligned Dynamic-Preserving Embedding for Zero- | shot | Action Recognition |
Alignment-Uniformity aware Representation Learning for Zero- | shot | Video Classification |
Alleviating Domain Shift via Discriminative Learning for Generalized Zero- | shot | Learning |
AMN: Attention Metric Network for One- | shot | Remote Sensing Image Scene Classification |
AMP: Adaptive Masked Proxies for Few- | shot | Segmentation |
Analyzing the effect of | shot | noise in indirect Time-of-Flight cameras |
Analyzing Zero- | shot | Cross-lingual Transfer in Supervised NLP Tasks |
Anchor-based discriminative dual distribution calibration for transductive zero- | shot | learning |
angular shrinkage BERT model for few- | shot | relation extraction with none-of-the-above detection, An |
Anti-aliasing Semantic Reconstruction for Few- | shot | Semantic Segmentation |
Any- | shot | Object Detection |
Any- | shot | Sequential Anomaly Detection in Surveillance Videos |
APANet: Adaptive Prototypes Alignment Network for Few- | shot | Semantic Segmentation |
APPLeNet: Visual Attention Parameterized Prompt Learning for Few- | shot | Remote Sensing Image Generalization using CLIP |
AS-Net: Class-Aware Assistance and Suppression Network for Few- | shot | Learning |
Aspect-Opinion Correlation Aware and Knowledge-Expansion Few | shot | Cross-Domain Sentiment Classification |
ASSD: Attentive single | shot | multibox detector |
Associative Alignment for Few- | shot | Image Classification |
AsyFOD: An Asymmetric Adaptation Paradigm for Few- | shot | Domain Adaptive Object Detection |
Attention Guided Cosine Margin to Overcome Class-Imbalance in Few- | shot | Road Object Detection |
Attention-Based 3D Convolutional Autoencoder for Few- | shot | Hyperspectral Unmixing and Classification, An |
Attention-Based Multi-View Feature Collaboration for Decoupled Few- | shot | Learning |
Attention-Enhanced One- | shot | Attack against Single Object Tracking for Unmanned Aerial Vehicle Remote Sensing Images |
Attentional prototype inference for few- | shot | segmentation |
Attentive matching network for few- | shot | learning |
Attentive Prototype Few- | shot | Learning with Capsule Network-based Embedding |
Attentive Region Embedding Network for Zero- | shot | Learning |
Attentive Semantic Preservation Network for Zero- | shot | Learning |
Attentive Weights Generation for Few | shot | Learning via Information Maximization |
Attribute Attention for Semantic Disambiguation in Zero- | shot | Learning |
Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero- | shot | Learning |
Attribute Group Editing for Reliable Few- | shot | Image Generation |
Attribute Prototype Network for Any- | shot | Learning |
Attribute subspaces for zero- | shot | learning |
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few- | shot | Learning |
Attribute-Based Classification for Zero- | shot | Visual Object Categorization |
Attribute-Guided Feature Learning for Few- | shot | Image Recognition |
Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero- | shot | Hashing |
Attribute-Induced Bias Eliminating for Transductive Zero- | shot | Learning |
Attribute-Modulated Generative Meta Learning for Zero- | shot | Learning |
Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero- | shot | Learning |
ATZSL: Defensive Zero- | shot | Recognition in the Presence of Adversaries |
Audiovisual Generalised Zero- | shot | Learning with Cross-modal Attention and Language |
Augmentation Network for Generalised Zero- | shot | Learning |
Augmented Bi-path Network for Few- | shot | Learning |
Augmented Multimodality Fusion for Generalized Zero- | shot | Sketch-Based Visual Retrieval |
Augmenting and Aligning Snippets for Few- | shot | Video Domain Adaptation |
Auto-FSL: Searching the Attribute Consistent Network for Few- | shot | Learning |
Autoencoder based novelty detection for generalized zero | shot | learning |
Automatic Appropriate Segment Extraction from | shot | s Based on Learning from Example Videos |
Automatic collection of Web video | shot | s corresponding to specific actions using Web images |
Automatic construction of an action video | shot | database using web videos |
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single | shot | MultiBox Detector |
Automatic extraction of relevant video | shot | s of specific actions exploiting Web data |
Automatic feature extraction using CNN for robust active one- | shot | scanning |
Automatic Identification of | shot | Body Region from Clinical Photographies |
Automatic Image Attribute Selection for Zero- | shot | Learning of Object Categories |
Automatic Retrieval of Action Video | shot | s from the Web Using Density-Based Cluster Analysis and Outlier Detection |
Automatic | shot | Change Detection Algorithm Using Multi-stage Clustering for MPEG-Compressed Videos |
Automatic | shot | -Change Detection Algorithm Based on Visual Rhythm Extraction |
Automatic tracking camera system utilizing the position of faces in the | shot | image |
Automatic Video Data Structuring Through | shot | Partitioning and Key-Frame Computing |
Automatic Video Parsing Using | shot | Boundary Detection and Camera Operation Analysis |
Automatic Video Scene Extraction by | shot | Grouping |
Automatic video summarization using a measure of | shot | importance and a frame-packing method |
Autonomous UAV Cinematography: A Tutorial and a Formalized | shot | -Type Taxonomy |
Auto | shot | : A Short Video Dataset and State-of-the-Art Shot Boundary Detection |
Avatar-Net: Multi-scale Zero- | shot | Style Transfer by Feature Decoration |
AVFormer: Injecting Vision into Frozen Speech Models for Zero- | shot | AV-ASR |
AVGZSLNet: Audio-Visual Generalized Zero- | shot | Learning by Reconstructing Label Features from Multi-Modal Embeddings |
Azimuth-Aware Discriminative Representation Learning for Semi-Supervised Few- | shot | SAR Vehicle Recognition |
Baby steps towards few- | shot | learning with multiple semantics |
Back to Optimization: Diffusion-based Zero- | shot | 3D Human Pose Estimation |
Background Clustering Pre-Training for Few- | shot | Segmentation |
Background Learnable Cascade for Zero- | shot | Object Detection |
Bag Detection and Retrieval in Street | shot | s |
Balanced and Hierarchical Relation Learning for One- | shot | Object Detection |
Balanced single- | shot | object detection using cross-context attention-guided network |
Bangla Sign alphabet recognition with zero- | shot | and transfer learning |
Base and Meta: A New Perspective on Few- | shot | Segmentation |
bayesian approach to unsupervised one- | shot | learning of object categories, A |
Bayesian Embeddings for Few- | shot | Open World Recognition |
Bayesian Inferred Self-Attentive Aggregation for Multi- | shot | Person Re-Identification |
Bayesian Video Modeling Framework for | shot | Segmentation and Content Characterization, A |
BEFSR: A Multiple Attention-Based Model Considering Bidirectional Entity Information Flows and Few- | shot | Relations |
Behavior regularized prototypical networks for semi-supervised few- | shot | image classification |
Benchmarking Low- | shot | Robustness to Natural Distribution Shifts |
Best- | shot | Selection for Video Face Recognition Using FPGA |
Better localized predictions with Out-of-Scope information and Explainable AI: One- | shot | SAR backscatter nowcast framework with data from neighboring region |
Beyond Attributes: High-Order Attribute Features for Zero- | shot | Learning |
Beyond Max-Margin: Class Margin Equilibrium for Few- | shot | Object Detection |
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero- | shot | Recognition |
Bi-Directional Distribution Alignment for Transductive Zero- | shot | Learning |
Bi-Level Meta-Learning for Few- | shot | Domain Generalization |
Bi-level Relative Information Analysis for Multiple- | shot | Person Re-Identification |
Bi-path Combination YOLO for Real-time Few- | shot | Object Detection |
Bias alleviating generative adversarial network for generalized zero- | shot | classification |
Bias-Eliminated Semantic Refinement for Any- | shot | Learning |
Bias: Bijective Input and Surjectivity In Zero | shot | Learning |
Bidirectional Mapping Coupled GAN for Generalized Zero- | shot | Learning |
Bidirectional Matching Prototypical Network for Few- | shot | Image Classification |
Bidirectional One- | shot | Unsupervised Domain Mapping |
Bidirectional sparse representations for multi- | shot | person re-identification |
Big | shot | Camera |
Binary Similarity Few- | shot | Object Detection With Modeling of Hard Negative Samples |
Binocular Mutual Learning for Improving Few- | shot | Classification |
Biomechanical-Based Approach to Data Augmentation for One- | shot | Gesture Recognition |
Black Box Few- | shot | Adaptation for Vision-Language models |
Black-Box Few- | shot | Knowledge Distillation |
Blended-NeRF: Zero- | shot | Object Generation and Blending in Existing Neural Radiance Fields |
BlendFields: Few- | shot | Example-Driven Facial Modeling |
BoMW: Bag of Manifold Words for One- | shot | Learning Gesture Recognition From Kinect |
Bongard-HOI: Benchmarking Few- | shot | Visual Reasoning for Human-Object Interactions |
Booster- | shot | : Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention |
Boosting Few- | shot | Action Recognition with Graph-guided Hybrid Matching |
Boosting Few- | shot | Fine-Grained Recognition With Background Suppression and Foreground Alignment |
Boosting Few- | shot | Hyperspectral Image Classification Using Pseudo-Label Learning |
Boosting Few- | shot | Learning With Adaptive Margin Loss |
Boosting Few- | shot | Visual Learning With Self-Supervision |
Boosting the Generalization Capability in Cross-Domain Few- | shot | Learning via Noise-enhanced Supervised Autoencoder |
Boosting Transductive Few- | shot | Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization |
Boosting Variational Inference With Margin Learning for Few- | shot | Scene-Adaptive Anomaly Detection |
Boosting Zero- | shot | Image Classification via Pairwise Relationship Learning |
Boundary Based Out-of-Distribution Classifier for Generalized Zero- | shot | Learning, A |
Breast tissue characterization based on modeling of ultrasonic echoes using the power-law | shot | noise model |
Bridging the Gap Between Few- | shot | and Many-Shot Learning via Distribution Calibration |
Bridging the Gap Between Few- | shot | and Many-Shot Learning via Distribution Calibration |
Broader Study of Cross-domain Few- | shot | Learning, A |
Brute Force Matching Between Camera | shot | s And Synthetic Images From Point Clouds |
BSNet: Bi-Similarity Network for Few- | shot | Fine-grained Image Classification |
C-GZS: Controllable Person Image Synthesis Based on Group-Supervised Zero- | shot | Learning |
C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video | shot | , A |
CAD: Co-Adapting Discriminative Features for Improved Few- | shot | Classification |
CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero- | shot | Learning |
Calibrating CNNs for Few- | shot | Meta Learning |
CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic | shot | Classification |
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few- | shot | Learning |
CANZSL: Cycle-Consistent Adversarial Networks for Zero- | shot | Learning from Natural Language |
Capturing the few- | shot | class distribution: Transductive distribution optimization |
Cascade Graph Neural Networks for Few- | shot | Learning on Point Clouds |
Catadioptric single- | shot | rangefinder for textured map building in robot navigation |
Category Knowledge-Guided Parameter Calibration for Few- | shot | Object Detection |
Causal Intervention for Few- | shot | Hypothesis Adaptation |
Causality-Driven One- | shot | Learning for Prostate Cancer Grading from MRI |
CDFM: A cross-domain few- | shot | model for marine plankton classification |
CellTranspose: Few- | shot | Domain Adaptation for Cellular Instance Segmentation |
Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero- | shot | learning |
CenterMask: Single | shot | Instance Segmentation With Point Representation |
CF-Font: Content Fusion for Few- | shot | Font Generation |
CFA: Constraint-based Finetuning Approach for Generalized Few- | shot | Object Detection |
CFENet: Boosting Few- | shot | Semantic Segmentation With Complementary Feature-Enhanced Network |
CharacterGAN: Few- | shot | Keypoint Character Animation and Reposing |
Charting the Right Manifold: Manifold Mixup for Few- | shot | Learning |
Chicken Detection in Occlusion Scenes with Modified Single | shot | MultiBox Detector |
CHOP: An orthogonal hashing method for zero- | shot | cross-modal retrieval |
CI-GNN: Building a Category-Instance Graph for Zero- | shot | Video Classification |
CIRI: Curricular Inactivation for Residue-aware One- | shot | Video Inpainting |
CLAREL: Classification via retrieval loss for zero- | shot | learning |
Class knowledge overlay to visual feature learning for zero- | shot | image classification |
Class-agnostic Few- | shot | Object Counting |
Class-Aware Patch Embedding Adaptation for Few- | shot | Image Classification |
Class-Discriminative Feature Embedding For Meta-Learning based Few- | shot | Classification |
Class-Prototype Discriminative Network for Generalized Zero- | shot | Learning |
Class-Shared SparsePCA for Few- | shot | Remote Sensing Scene Classification |
Class-wise Metric Scaling for Improved Few- | shot | Classification |
Classification Algorithm Based on Improved Meta Learning and Transfer Learning for Few- | shot | Medical Images, A |
Classification of Cinematographic | shot | s Using Lie Algebra and its Application to Complex Event Recognition |
Classifier and Exemplar Synthesis for Zero- | shot | Learning |
Classifying All Interacting Pairs in a Single | shot | |
CLASTER: Clustering with Reinforcement Learning for Zero- | shot | Action Recognition |
CLEAR: Cumulative LEARning for One- | shot | One-Class Image Recognition |
CLIP for All Things Zero- | shot | Sketch-Based Image Retrieval, Fine-Grained or Not |
CLIP-Forge: Towards Zero- | shot | Text-to-Shape Generation |
CLIP-Sculptor: Zero- | shot | Generation of High-Fidelity and Diverse Shapes from Natural Language |
CLIPN for Zero- | shot | OOD Detection: Teaching CLIP to Say No |
CLIPREC: Graph-Based Domain Adaptive Network for Zero- | shot | Referring Expression Comprehension |
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One- | shot | NAS |
Closer Look at Few- | shot | 3D Point Cloud Classification, A |
Closer Look at Few- | shot | Image Generation, A |
Cluster-to-adapt: Few | shot | Domain Adaptation for Semantic Segmentation across Disjoint Labels |
Coarse-To-Fine Incremental Few- | shot | Learning |
Coarse-to-fine pseudo supervision guided meta-task optimization for few- | shot | object classification |
Coarsely-labeled Data for Better Few- | shot | Transfer |
CobNet: Cross Attention on Object and Background for Few- | shot | Segmentation |
Coco-funit: Few- | shot | Unsupervised Image Translation with a Content Conditioned Style Encoder |
COFT-AD: COntrastive Fine-Tuning for Few- | shot | Anomaly Detection |
Coherent Deep-Net Fusion To Classify | shot | s In Concert Videos |
Collaborative Learning with Disentangled Features for Zero- | shot | Domain Adaptation |
Collaborative Sparse Approximation for Multiple- | shot | Across-Camera Person Re-identification |
Collect and Select: Semantic Alignment Metric Learning for Few- | shot | Learning |
Color Stabilization Along Time and Across | shot | s of the Same Scene, for One or Several Cameras of Unknown Specifications |
Coloring With Limited Data: Few- | shot | Colorization via Memory Augmented Networks |
Combinational Fusion and Global Attention of the Single- | shot | Method for Synthetic Aperture Radar Ship Detection |
Commercial | shot | Classification Based on Multiple Features Combination |
compact | shot | representation for video semantic indexing, A |
Comparative Study of Vision Transformer Encoders and Few- | shot | Learning for Medical Image Classification, A |
Comparative Validation of Single- | shot | Optical Techniques for Laparoscopic 3-D Surface Reconstruction |
Comparison of MPEG Domain Elements for Low-Level | shot | Boundary Detection |
Comparison of Score, Rank and Probability-Based Fusion Methods for Video | shot | Retrieval, A |
Comparison of Video | shot | Boundary Detection Techniques |
Complementing Representation Deficiency in Few- | shot | Image Classification: A Meta-Learning Approach |
Complex Event Detection by Identifying Reliable | shot | s from Untrimmed Videos |
Composing Good | shot | s by Exploiting Mutual Relations |
Composite Object Relation Modeling for Few- | shot | Scene Recognition |
Compositional Embeddings for Multi-Label One- | shot | Learning |
Compositional Zero- | shot | Learning using Multi-Branch Graph Convolution and Cross-layer Knowledge Sharing |
Compound Memory Networks for Few- | shot | Video Classification |
Compound Prototype Matching for Few- | shot | Action Recognition |
Comprehensive Feature Enhancement Module for Single- | shot | Object Detector |
Comprehensive Survey of Few- | shot | Learning: Evolution, Applications, Challenges, and Opportunities, A |
compressed-domain approach for | shot | boundary detection on H.264/avc bit streams, A |
Compressing Unknown Images With Product Quantizer for Efficient Zero- | shot | Classification |
Concept Embedding through Canonical Forms: A Case Study on Zero- | shot | ASL Recognition |
Concurrent transition and | shot | detection in football videos using Fuzzy Logic |
Conditional Coupled Generative Adversarial Networks for Zero- | shot | Domain Adaptation |
Conditional distance based matching for one- | shot | gesture recognition |
Confidence-based Visual Dispersal for Few- | shot | Unsupervised Domain Adaptation |
Constrained Few- | shot | Class-incremental Learning |
Context Information Refinement for Few- | shot | Object Detection in Remote Sensing Images |
Context-Aware Single- | shot | Detector |
Context-Guided Super-Class Inference for Zero- | shot | Detection |
Contextual Gradient Scaling for Few- | shot | Learning |
Continual Zero- | shot | Learning through Semantically Guided Generative Random Walks |
Contour Transformer Network for One- | shot | Segmentation of Anatomical Structures |
contrario | shot | detection, A |
Contrasting shadow for occluder light suppression from one- | shot | image |
Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few- | shot | Cases |
Contrastive Embedding for Generalized Zero- | shot | Learning |
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero- | shot | classification |
Contrastive Knowledge-Augmented Meta-Learning for Few- | shot | Classification |
Convolutional prototype learning for zero- | shot | recognition |
ConZIC: Controllable Zero- | shot | Image Captioning by Sampling-Based Polishing |
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zero- | shot | Classification and Retrieval of Videos |
CORL: Compositional Representation Learning for Few- | shot | Classification |
Cosine Similarity based Few- | shot | Video Classifier with Attention-based Aggregation |
Cost Aggregation with 4D Convolutional Swin Transformer for Few- | shot | Segmentation |
COSTA: Co-Occurrence Statistics for Zero- | shot | Classification |
Counterfactual Generation Framework for Few- | shot | Learning |
Counterfactual Zero- | shot | and Open-Set Visual Recognition |
Coupled Patch Similarity Network FOR One- | shot | Fine-Grained Image Recognition |
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero- | shot | Object Navigation |
CRCNet: Few- | shot | Segmentation with Cross-Reference and Region-Global Conditional Networks |
Creativity Inspired Zero- | shot | Learning |
CRNet: Cross-Reference Networks for Few- | shot | Segmentation |
Cross-Class Bias Rectification for Point Cloud Few- | shot | Segmentation |
Cross-Corpus Speech Emotion Recognition Based on Few- | shot | Learning and Domain Adaptation |
Cross-Domain Alignment for Zero- | shot | Sketch-Based Image Retrieval |
Cross-Domain Cross-Set Few- | shot | Learning via Learning Compact and Aligned Representations |
Cross-domain few- | shot | action recognition with unlabeled videos |
Cross-Domain Few- | shot | classification via class-shared and class-specific dictionaries |
Cross-Domain Few- | shot | Classification via Dense-Sparse-Dense Regularization |
Cross-Domain Few- | shot | Classification Via Inter-Source Stylization |
Cross-Domain Few- | shot | Incremental Learning for Point-Cloud Recognition |
Cross-domain Few- | shot | Learning with Task-specific Adapters |
Cross-Domain Few- | shot | Semantic Segmentation |
Cross-Domain Mapping Learning for Transductive Zero- | shot | Learning |
Cross-lingual few- | shot | sign language recognition |
Cross-Modal Contrastive Learning Network for Few- | shot | Action Recognition |
Cross-modal de-deviation for enhancing few- | shot | classification |
Cross-modal propagation network for generalized zero- | shot | learning |
Cross-modal prototype learning for zero- | shot | handwritten character recognition |
Cross-Modality Feature Fusion Network for Few- | shot | 3D Point Cloud Classification |
Cross-Scale Query-Support Alignment Approach for Small Object Detection in the Few- | shot | Regime |
Crossmodal Representation Learning for Zero- | shot | Action Recognition |
Crowdpainting with Light: Participatory Imaging at the Big | shot | |
CTR: Contrastive Training Recognition Classifier for Few- | shot | Open-World Recognition |
CuNeRF: Cube-Based Neural Radiance Field for Zero- | shot | Medical Image Arbitrary-Scale Super Resolution |
Curvature Generation in Curved Spaces for Few- | shot | Learning |
CVTHead: One- | shot | Controllable Head Avatar with Vertex-feature Transformer |
Cycle optimization metric learning for few- | shot | classification |
D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few- | shot | Space Target Recognition |
D3S: A Discriminative Single | shot | Segmentation Tracker |
Data Augmentation Using Learned Transformations for One- | shot | Medical Image Segmentation |
Data-Efficient Language-Supervised Zero- | shot | Learning with Self-Distillation |
Data-Mining Based Video | shot | Classification Method, A |
Dataset Bias in Few- | shot | Image Recognition |
Decision Boundary Optimization for Few- | shot | Class-Incremental Learning |
Decomposable Causal View of Compositional Zero- | shot | Learning, A |
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero- | shot | Learning |
Deconfounding Causal Inference for Zero- | shot | Action Recognition |
Decoupling Zero- | shot | Semantic Segmentation |
Deep Attributes for One- | shot | Face Recognition |
Deep Complementary Joint Model for Complex Scene Registration and Few- | shot | Segmentation on Medical Images |
Deep Cross-Domain Few- | shot | Learning for Hyperspectral Image Classification |
Deep Few | shot | Learning |
Deep Few- | shot | Learning for Hyperspectral Image Classification |
Deep Joint Deinterlacing and Denoising for Single | shot | Dual-ISO HDR Reconstruction |
Deep Joint Demosaicing and High Dynamic Range Imaging Within a Single | shot | |
Deep Learning for | shot | Classification in Gynecologic Surgery Videos |
Deep metric learning for few- | shot | image classification: A Review of recent developments |
Deep Multi-Modal Explanation Model for Zero- | shot | Learning, A |
Deep Multiple Instance Learning for Zero- | shot | Image Tagging |
deep one- | shot | network for query-based logo retrieval, A |
Deep Optics for Single- | shot | High-Dynamic-Range Imaging |
Deep Ranking for Image Zero- | shot | Multi-Label Classification |
Deep Relation Network for Hyperspectral Image Few- | shot | Classification |
Deep Semantic-Visual Alignment for zero- | shot | remote sensing image scene classification |
Deep Sensor Fusion Based on Frustum Point Single | shot | Multibox Detector for 3D Object Detection |
Deep transductive network for generalized zero | shot | learning |
Deep Transfer Learning for Few- | shot | SAR Image Classification |
Deep Tree Learning for Zero- | shot | Face Anti-Spoofing |
Deep Unbiased Embedding Transfer for Zero- | shot | Learning |
Deep Zero- | shot | Learning for Scene Sketch |
Deep, Robust and Single | shot | 3D Multi-Person Human Pose Estimation from Monocular Images |
Deep0Tag: Deep Multiple Instance Learning for Zero- | shot | Image Tagging |
DeepEMD: Differentiable Earth Mover's Distance for Few- | shot | Learning |
DeepEMD: Few- | shot | Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers |
DeepMark: One- | shot | Clothing Detection |
Defensive Few- | shot | Learning |
DeFRCN: Decoupled Faster R-CNN for Few- | shot | Object Detection |
DeltaGAN: Towards Diverse Few- | shot | Image Generation with Sample-Specific Delta |
Delving Deep into Many-to-many Attention for Few- | shot | Video Object Segmentation |
Delving Deep Into One- | shot | Skeleton-Based Action Recognition With Diverse Occlusions |
Delving into Shape-aware Zero- | shot | Semantic Segmentation |
Demoireing for screen- | shot | images with multi-channel layer decomposition |
Demonstration of single- | shot | digital holography using a Bayesian framework |
Dense Classification and Implanting for Few- | shot | Learning |
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few- | shot | Segmentation |
Dense depth acquisition via one- | shot | stripe structured light |
Dense Gaussian Processes for Few- | shot | Segmentation |
Dense one- | shot | 3D reconstruction by detecting continuous regions with parallel line projection |
Dense Relation Distillation with Context-aware Aggregation for Few- | shot | Object Detection |
Dense single- | shot | 3D scanning via stereoscopic fringe analysis |
Densely Connected Single- | shot | Detector |
Describing Unseen Classes by Exemplars: Zero- | shot | Learning Using Grouped Simile Ensemble |
DETA: Denoised Task Adaptation for Few- | shot | Learning |
Detecting And Correcting Motion Blur from Images | shot | with Channel-Dependent Exposure Time |
Detecting Extratropical Cyclones of the Northern Hemisphere with Single | shot | Detector |
Detecting Re-captured Videos Using | shot | -Based Photo Response Non-Uniformity |
Detecting Screen | shot | Images within Large-Scale Video Archive |
Detecting | shot | transitions based on video content |
Detection and Classification of | shot | Transitions |
Detection of representative frames of a | shot | using multivariate Wald-Wolfowitz test |
Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single | shot | Multibox Detector in the Jing-Jin-Ji Region, China |
Detection of unique people in news programs using multimodal | shot | clustering |
Determining | shot | Accuracy of a Robotic Pool System |
Development and evaluation of a self-training system for tennis | shot | s with motion feature assessment and visualization |
Development of a novel simplification mask for multi- | shot | optical scanners |
Development of Few- | shot | Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction |
DFS: A Diverse Feature Synthesis Model for Generalized Zero- | shot | Learning |
Dictionary Learning for Few- | shot | Remote Sensing Scene Classification |
DID: Disentangling-Imprinting-Distilling for Continuous Low- | shot | Detection |
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few- | shot | Object Detection |
DINAR: Diffusion Inpainting of Neural Textures for One- | shot | Human Avatars |
Directed Variational Cross-encoder Network for Few- | shot | Multi-image Co-segmentation |
Discovering Human Interactions With Novel Objects via Zero- | shot | Learning |
Discovering Motion Primitives for Unsupervised Grouping and One- | shot | Learning of Human Actions, Gestures, and Expressions |
Discovering Video | shot | Categories by Unsupervised Stochastic Graph Partition |
Discrepancy-Aware Meta-Learning for Zero- | shot | Face Manipulation Detection |
Discriminative and Robust Attribute Alignment for Zero- | shot | Learning |
Discriminative deep attributes for generalized zero- | shot | learning |
Discriminative Few | shot | Learning of Facial Dynamics in Interview Videos for Autism Trait Classification |
Discriminative Hallucination for Multi-Modal Few- | shot | Learning |
Discriminative Latent Visual Space For Zero- | shot | Object Classification |
Discriminative Learning of Latent Features for Zero- | shot | Recognition |
Discriminative Region-based Multi-Label Zero- | shot | Learning |
Discriminative Single- | shot | Segmentation Network for Visual Object Tracking, A |
Disentangling Semantic-to-Visual Confusion for Zero- | shot | Learning |
Distilled Reverse Attention Network for Open-world Compositional Zero- | shot | Learning |
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few- | shot | Classification and Segmentation |
Distinguishing Unseen from Seen for Generalized Zero- | shot | Learning |
Diversity is Definitely Needed: Improving Model-Agnostic Zero- | shot | Classification via Stable Diffusion |
Diversity With Cooperation: Ensemble Methods for Few- | shot | Classification |
Diversity-Boosted Generalization-Specialization Balancing for Zero- | shot | Learning |
DLA-MatchNet for Few- | shot | Remote Sensing Image Scene Classification |
DnA: Improving Few- | shot | Transfer Learning with Low-Rank Decomposition and Alignment |
Domain Adaptation Meets Zero- | shot | Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation |
Domain Adaptive Few- | shot | Open-Set Learning |
Domain Aligned CLIP for Few- | shot | Classification |
Domain Shift Preservation for Zero- | shot | Domain Adaptation |
Domain-Adaptive Discriminative One- | shot | Learning of Gestures |
Domain-Adaptive Few- | shot | Learning |
Domain-Aware Visual Bias Eliminating for Generalized Zero- | shot | Learning |
Domain-Oriented Semantic Embedding for Zero- | shot | Learning |
Domain-Specific Priors and Meta Learning for Few- | shot | First-Person Action Recognition |
Don't Even Look Once: Synthesizing Features for Zero- | shot | Detection |
Don't Wait Until the Accident Happens: Few- | shot | Classification Framework for Car Accident Inspection in a Real World |
Doodle to Search: Practical Zero- | shot | Sketch-Based Image Retrieval |
Double Head Predictor based Few- | shot | Object Detection for Aerial Imagery |
Doubly Deformable Aggregation of Covariance Matrices for Few- | shot | Segmentation |
DPGN: Distribution Propagation Graph Network for Few- | shot | Learning |
Dream3D: Zero- | shot | Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models |
DRNet: Double Recalibration Network for Few- | shot | Semantic Segmentation |
DSFD: Dual | shot | Face Detector |
Dual Adaptive Representation Alignment for Cross-Domain Few- | shot | Learning |
Dual Branch Multi-Level Semantic Learning for Few- | shot | Segmentation |
Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few- | shot | Medical Image Segmentation |
Dual global-aware propagation for few- | shot | learning |
Dual Meta-Learning with Longitudinally Generalized Regularization for One- | shot | Brain Tissue Segmentation Across the Human Lifespan |
Dual-Aligned Feature Confusion Alleviation for Generalized Zero- | shot | Learning |
Dual-Stream Contrastive Learning for Compositional Zero- | shot | Recognition |
Dual-Uncertainty Guided Cycle-Consistent Network for Zero- | shot | Learning |
DualSR: Zero- | shot | Dual Learning for Real-World Super-Resolution |
Dynamic Anchor Feature Selection for Single- | shot | Object Detection |
Dynamic Conditional Networks for Few- | shot | Learning |
Dynamic Few- | shot | Visual Learning Without Forgetting |
Dynamic Model-Agnostic Meta-Learning for Incremental Few- | shot | Learning |
Dynamic Prototype Convolution Network for Few- | shot | Semantic Segmentation |
Dynamic Support Network for Few- | shot | Class Incremental Learning |
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few- | shot | Learning |
Easy Identification from Better Constraints: Multi- | shot | Person Re-identification from Reference Constraints |
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few- | shot | Learning |
Edge-Labeling Based Directed Gated Graph Network for Few- | shot | Learning |
Edge-labeling based modified gated graph network for few- | shot | learning |
Edge-Labeling Graph Neural Network for Few- | shot | Learning |
Effective Crop-Paste Pipeline for Few- | shot | Object Detection, An |
Effective News Anchorperson | shot | Detection Method Based on Adaptive Audio/Visual Model Generation, An |
effective post-refinement method for | shot | boundary detection, An |
Effective Task Sampling Strategy Based on Category Generation for Fine-Grained Few- | shot | Object Recognition, An |
Efficient and robust | shot | change detection |
Efficient Content-Adaptive Feature-Based | shot | Detection for HTTP Adaptive Streaming |
Efficient Feature Distillation for Zero- | shot | Annotation Object Detection |
Efficient Feature Reconstruction via l2,1-Norm Regularization for Few- | shot | Classification |
Efficient Featurized Image Pyramid Network for Single | shot | Detector |
Efficient few- | shot | learning for pixel-precise handwritten document layout analysis |
Efficient Few- | shot | Object Detection via Knowledge Inheritance |
efficient framework for few- | shot | skeleton-based temporal action segmentation, An |
efficient framework for zero- | shot | sketch-based image retrieval, An |
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero- | shot | Learning |
Efficient identification of speakers in news video based on | shot | segmentation |
Efficient matching and clustering of video | shot | s |
efficient method for video | shot | boundary detection and keyframe extraction using SIFT-point distribution histogram, An |
Efficient Near-Duplicate Video | shot | Detection Method Using Shot-Based Interest Points, An |
Efficient Near-Duplicate Video | shot | Detection Method Using Shot-Based Interest Points, An |
Efficient One- | shot | Sports Field Image Registration with Arbitrary Keypoint Segmentation |
Efficient Per- | shot | Transformer-Based Bitrate Ladder Prediction for Adaptive Video Streaming |
Efficient | shot | Boundary Detection for Action Movies Using Blockwise Motion-Based Features |
Efficient Spatiotemporal Attention Model and Its Application to | shot | Matching, An |
Elaborative Rehearsal for Zero- | shot | Action Recognition |
Elastic temporal alignment for few- | shot | action recognition |
Elimination of Non-Novel Segments at Multi-Scale for Few- | shot | Segmentation |
Embarrassingly Simple Baseline to One- | shot | Learning, An |
Embedding Propagation: Smoother Manifold for Few- | shot | Classification |
EmoStyle: One- | shot | Facial Expression Editing Using Continuous Emotion Parameters |
Empirical Analysis for Zero- | shot | Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports, An |
Empirical Study and Analysis of Generalized Zero- | shot | Learning for Object Recognition in the Wild, An |
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero- | shot | Learning |
Encyclopedia enhanced semantic embedding for zero- | shot | learning |
End-to-End One- | shot | Human Parsing |
Energy-Based Temporal Summarized Attentive Network for Zero- | shot | Action Recognition |
Enhanced Few- | shot | Learning for Intrusion Detection in Railway Video Surveillance |
Enhancement multi-module network for few- | shot | leaky cable fixture detection in railway tunnel |
Enhancing Few- | shot | Image Classification with Unlabelled Examples |
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few- | shot | Learning |
Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero- | shot | Learning |
ENInst: Enhancing weakly-supervised low- | shot | instance segmentation |
Ensemble of Epoch-wise Empirical Bayes for Few- | shot | Learning, An |
Entropy-Guided Reinforced Partial Convolutional Network for Zero- | shot | Learning, An |
ePillID Dataset: A Low- | shot | Fine-Grained Benchmark for Pill Identification |
Episode Difficulty Based Sampling Method for Few- | shot | Classification |
Episode-Based Prototype Generating Network for Zero- | shot | Learning |
Episodic Projection Network for Out-of-Distribution Detection in Few- | shot | Learning |
Establishment | shot | detection using qualitative motion |
Euclidean Space is Evil: Hyperbolic Attribute Editing for Few- | shot | Image Generation, The |
Evaluating knowledge transfer and zero- | shot | learning in a large-scale setting |
Event Driven Web Video Summarization by Tag Localization and Key- | shot | Identification |
Exemplar-Based, Semantic Guided Zero- | shot | Visual Recognition |
Expanding Hyperspherical Space for Few- | shot | Class-Incremental Learning |
Experimental Design for Overparameterized Learning With Application to Single | shot | Deep Active Learning |
Experimental Results of Underwater Sound Speed Profile Inversion by Few- | shot | Multi-Task Learning |
Explainable few- | shot | learning with visual explanations on a low resource pneumonia dataset |
Explanation-Guided Training for Cross-Domain Few- | shot | Classification |
Explanatory Object Part Aggregation for Zero- | shot | Learning |
Explicit knowledge transfer of graph-based correlation distillation and diversity data hallucination for few- | shot | object detection |
Exploit the Unknown Gradually: One- | shot | Video-Based Person Re-identification by Stepwise Learning |
Exploiting a Joint Embedding Space for Generalized Zero- | shot | Semantic Segmentation |
Exploiting CLIP for Zero- | shot | HOI Detection Requires Knowledge Distillation at Multiple Levels |
Exploiting Temporal Coherence for Self-supervised One- | shot | Video Re-identification |
Explore Efficient Local Features from RGB-D Data for One- | shot | Learning Gesture Recognition |
Explore the Power of Synthetic Data on Few- | shot | Object Detection |
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few- | shot | Learning |
Exploring Cross-Video Matching for Few- | shot | Video Classification via Dual-Hierarchy Graph Neural Network Learning |
Exploring Hierarchical Graph Representation for Large-Scale Zero- | shot | Image Classification |
Exploring Image Bit Planes for Video | shot | Boundary Detection |
Exploring Incompatible Knowledge Transfer in Few- | shot | Image Generation |
Exploring synonyms as context in zero- | shot | action recognition |
Exploring the Limits of Zero- | shot | Learning: How Low Can You Go? |
Exploring Zero- | shot | Emotion Recognition in Speech Using Semantic-Embedding Prototypes |
Exposure-Aware Dynamic Weighted Learning for Single- | shot | HDR Imaging |
Extreme Reverse Projection Learning for Zero- | shot | Recognition |
F-VAEGAN-D2: A Feature Generating Framework for Any- | shot | Learning |
Face Generation for Low- | shot | Learning Using Generative Adversarial Networks |
Face pose estimation and its application in video | shot | selection |
Face Recognition Systems from Single Example, One Sample, One | shot | |
Face2Face-rho: Real-Time High-Resolution One- | shot | Face Reenactment |
FADS: Fourier-Augmentation Based Data-Shunting for Few- | shot | Classification |
FAPIS: A Few- | shot | Anchor-free Part-based Instance Segmenter |
Fast Adaptive Meta-Learning for Few- | shot | Image Generation |
Fast Bi-layer Neural Synthesis of One- | shot | Realistic Head Avatars |
Fast Coarse-to-Fine Video Retrieval Using | shot | -Level Spatio-Temporal Statistics |
fast cube-based video | shot | retrieval using 3D moment-preserving technique, A |
Fast Simplex-HMM for One- | shot | Learning Activity Recognition |
Fast Single | shot | Detection and Pose Estimation |
Fast Single | shot | Instance Segmentation |
Fast single | shot | multibox detector and its application on vehicle counting system |
Fast Video | shot | Boundary Detection Based on SVD and Pattern Matching |
Fast video | shot | boundary detection framework employing pre-processing techniques |
Fast video | shot | retrieval based on trace geometry matching |
Fast video | shot | retrieval by trace geometry matching in principal component space |
Fast Video | shot | Retrieval with Luminance Field Trace Indexing and Geometry Matching |
Fast Video | shot | Transition Localization with Deep Structured Models |
Fast Zero- | shot | Image Tagging |
Faster OreFSDet: A lightweight and effective few- | shot | object detector for ore images |
Faster Person Re-Identification: One- | shot | -Filter and Coarse-to-Fine Search |
FastMask: Segment Multi-scale Object Candidates in One | shot | |
FastRecon: Few- | shot | Industrial Anomaly Detection via Fast Feature Reconstruction |
FateZero: Fusing Attentions for Zero- | shot | Text-based Video Editing |
Feature Aggregation in Zero- | shot | Cross-Lingual Transfer Using Multilingual BERT |
Feature difference for single- | shot | object detection |
Feature fine-tuning and attribute representation transformation for zero- | shot | learning |
Feature Generating Networks for Zero- | shot | Learning |
Feature hallucination in hypersphere space for few- | shot | classification |
Feature Learning for One- | shot | Face Recognition |
Feature reconstruction and metric based network for few- | shot | object detection |
Feature Selection for Zero- | shot | Gesture Recognition |
Feature Selective Anchor-Free Module for Single- | shot | Object Detection |
Feature Weighting and Boosting for Few- | shot | Segmentation |
FedAffect: Few- | shot | federated learning for facial expression recognition |
FedFSLAR: A Federated Learning Framework for Few- | shot | Action Recognition |
Few | shot | font generation via transferring similarity guided global style and quantization local style |
Few | shot | Generative Model Adaption via Relaxed Spatial Structural Alignment |
Few | shot | Learning |
Few | shot | Learning for Infra-Red Object Recognition Using Analytically Designed Low Level Filters for Data Representation |
Few | shot | Learning For Point Cloud Data Using Model Agnostic Meta Learning |
Few | shot | Learning Framework to Reduce Inter-observer Variability in Medical Images |
Few | shot | learning-based fast adaptation for human activity recognition |
Few | shot | Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling |
Few | shot | s are all you need: A progressive learning approach for low resource handwritten text recognition |
Few Zero Level Set- | shot | Learning of Shape Signed Distance Functions in Feature Space |
Few- | shot | 3D Point Cloud Semantic Segmentation |
Few- | shot | Action Recognition with Hierarchical Matching and Contrastive Learning |
Few- | shot | action recognition with implicit temporal alignment and pair similarity optimization |
Few- | shot | Action Recognition with Permutation-invariant Attention |
Few- | shot | Activity Recognition with Cross-Modal Memory Network |
Few- | shot | Adaptive Faster R-CNN |
Few- | shot | Adaptive Gaze Estimation |
Few- | shot | Adaptive Object Detection with Cross-domain Cutmix |
Few- | shot | Adversarial Learning of Realistic Neural Talking Head Models |
Few- | shot | Aircraft Detection in Satellite Videos Based on Feature Scale Selection Pyramid and Proposal Contrastive Learning |
Few- | shot | and Continual Learning with Attentive Independent Mechanisms |
Few- | shot | Anomaly Detection Using Deep Generative Models for Grouped Data |
Few- | shot | Associative Domain Adaptation for Surface Normal Estimation |
Few- | shot | Backdoor Defense Using Shapley Estimation |
Few- | shot | Batch Incremental Road Object Detection via Detector Fusion |
Few- | shot | Building Footprint Shape Classification with Relation Network |
Few- | shot | Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction |
Few- | shot | Class Incremental Learning Leveraging Self-Supervised Features |
Few- | shot | Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes |
Few- | shot | Class-Incremental Learning |
Few- | shot | Class-Incremental Learning by Sampling Multi-Phase Tasks |
Few- | shot | Class-Incremental Learning for 3D Point Cloud Objects |
Few- | shot | Class-Incremental Learning from an Open-Set Perspective |
Few- | shot | Class-Incremental Learning via Class-Aware Bilateral Distillation |
Few- | shot | Class-Incremental Learning via Compact and Separable Features for Fine-Grained Vehicle Recognition |
Few- | shot | Class-Incremental Learning via Entropy-Regularized Data-Free Replay |
Few- | shot | classification guided by generalization error bound |
Few- | shot | Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains |
Few- | shot | Classification of Aerial Scene Images via Meta-Learning |
Few- | shot | classification using Gaussianisation prototypical classifier |
Few- | shot | Classification with Contrastive Learning |
Few- | shot | Classification with Feature Map Reconstruction Networks |
Few- | shot | classification with multisemantic information fusion network |
Few- | shot | classification with task-adaptive semantic feature learning |
Few- | shot | Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics |
Few- | shot | Common-Object Reasoning Using Common-Centric Localization Network |
Few- | shot | Compositional Font Generation with Dual Memory |
Few- | shot | Continual Infomax Learning |
Few- | shot | Contrastive Transfer Learning With Pretrained Model for Masked Face Verification |
Few- | shot | Dataset Distillation via Translative Pre-Training |
Few- | shot | Deep Adversarial Learning for Video-Based Person Re-Identification |
Few- | shot | Depth Completion Using Denoising Diffusion Probabilistic Model |
Few- | shot | Domain Adaptation via Mixup Optimal Transport |
Few- | shot | Domain-Adaptive Anomaly Detection for Cross-Site Brain Images |
Few- | shot | Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture |
Few- | shot | End-to-End Object Detection via Constantly Concentrated Encoding Across Heads |
Few- | shot | Event Classification in Images using Knowledge Graphs for Prompting |
Few- | shot | Few-Shot Learning and the role of Spatial Attention |
Few- | shot | Few-Shot Learning and the role of Spatial Attention |
Few- | shot | Font Generation by Learning Fine-Grained Local Styles |
Few- | shot | Font Generation with Deep Metric Learning |
Few- | shot | Font Generation With Weakly Supervised Localized Representations |
Few- | shot | Font Style Transfer between Different Languages |
Few- | shot | forgery detection via Guided Adversarial Interpolation |
Few- | shot | Generalization for Single-Image 3D Reconstruction via Priors |
Few- | shot | Generative Model Adaptation via Style-Guided Prompt |
Few- | shot | generative model for skeleton-based human action synthesis using cross-domain adversarial learning |
Few- | shot | Geometry-Aware Keypoint Localization |
Few- | shot | Hash Learning for Image Retrieval |
Few- | shot | Head Swapping in the Wild |
Few- | shot | High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta-Learning with Mixed Training and Meta Embedding |
Few- | shot | Human Motion Prediction via Meta-learning |
Few- | shot | Human Motion Transfer by Personalized Geometry and Texture Modeling |
Few- | shot | Human-Object Interaction Recognition with Semantic-Guided Attentive Prototypes Network |
Few- | shot | hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data |
Few- | shot | Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer |
Few- | shot | Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System |
Few- | shot | Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning |
Few- | shot | Image and Sentence Matching via Aligned Cross-Modal Memory |
Few- | shot | Image Classification Along Sparse Graphs |
Few- | shot | Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling |
Few- | shot | Image Classification for Automatic Covid-19 Diagnosis |
Few- | shot | Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier |
Few- | shot | Image Generation via Cross-domain Correspondence |
Few- | shot | Image Generation with Mixup-Based Distance Learning |
Few- | shot | Image Recognition by Predicting Parameters from Activations |
Few- | shot | Image Recognition for UAV Sports Cinematography |
Few- | shot | Image Recognition With Knowledge Transfer |
Few- | shot | Image Recognition with Manifolds |
Few- | shot | Incremental Learning for Label-to-Image Translation |
Few- | shot | incremental learning with continual prototype calibration for remote sensing image fine-grained classification |
Few- | shot | Incremental Learning with Continually Evolved Classifiers |
Few- | shot | Keypoint Detection with Uncertainty Learning for Unseen Species |
Few- | shot | Learning Approach for Historical Ciphered Manuscript Recognition, A |
Few- | shot | Learning Based on Metric Learning Using Class Augmentation |
Few- | shot | Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation |
Few- | shot | Learning by Integrating Spatial and Frequency Representation |
Few- | shot | Learning for Crop Mapping from Satellite Image Time Series |
Few- | shot | learning for dermatological conditions with Lesion Area Aware Swin Transformer |
Few- | shot | learning for face recognition in the presence of image discrepancies for limited multi-class datasets |
Few- | shot | Learning for Fine-Grained Emotion Recognition Using Physiological Signals |
Few- | shot | Learning for Image Denoising |
Few- | shot | Learning for Post-Earthquake Urban Damage Detection |
Few- | shot | Learning for Prediction of Electricity Consumption Patterns |
Few- | shot | Learning for Radar Emitter Signal Recognition Based on Improved Prototypical Network |
Few- | shot | Learning for Radar Signal Recognition Based on Tensor Imprint and Re-Parameterization Multi-Channel Multi-Branch Model |
Few- | shot | Learning for Remote Sensing Image Retrieval With MAML |
Few- | shot | Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation |
Few- | shot | Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification |
Few- | shot | Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification |
Few- | shot | Learning Method for SAR Images Based on Weighted Distance and Feature Fusion, A |
Few- | shot | Learning Network for Moving Object Detection Using Exemplar-Based Attention Map |
Few- | shot | Learning of Compact Models via Task-Specific Meta Distillation |
Few- | shot | Learning of Part-Specific Probability Space for 3D Shape Segmentation |
Few- | shot | Learning of Video Action Recognition Only Based on Video Contents |
Few- | shot | Learning via Embedding Adaptation With Set-to-Set Functions |
Few- | shot | Learning via Feature Hallucination with Variational Inference |
Few- | shot | Learning via Saliency-Guided Hallucination of Samples |
Few- | shot | learning via weighted prototypes from graph structure |
Few- | shot | Learning With a Strong Teacher |
Few- | shot | Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification |
Few- | shot | Learning With Class-Covariance Metric for Hyperspectral Image Classification |
Few- | shot | Learning with Complex-Valued Neural Networks and Dependable Learning |
Few- | shot | Learning With Embedded Class Models and Shot-Free Meta Training |
Few- | shot | Learning With Embedded Class Models and Shot-Free Meta Training |
Few- | shot | Learning With Global Class Representations |
Few- | shot | Learning With Localization in Realistic Settings |
Few- | shot | Learning with Noisy Labels |
Few- | shot | Learning with Online Self-Distillation |
Few- | shot | learning with relation propagation and constraint |
Few- | shot | Learning with Unlabeled Outlier Exposure |
Few- | shot | learning with unsupervised part discovery and part-aligned similarity |
Few- | shot | Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment |
few- | shot | learning-based ischemic stroke segmentation system using weighted MRI fusion, A |
Few- | shot | Lip-Password Based Speaker Verification |
Few- | shot | logo detection |
Few- | shot | Medical Image Segmentation with Cycle-resemblance Attention |
Few- | shot | Metric Learning: Online Adaptation of Embedding for Retrieval |
Few- | shot | Multi-Agent Perception With Ranking-Based Feature Learning |
Few- | shot | Multi-Class Ship Detection in Remote Sensing Images Using Attention Feature Map and Multi-Relation Detector |
Few- | shot | node classification on attributed networks based on deep metric learning for Cyber-Physical-Social Services |
Few- | shot | Non-Line-of-Sight Imaging with Signal-Surface Collaborative Regularization |
Few- | shot | Object Counting and Detection |
Few- | shot | Object Counting with Similarity-Aware Feature Enhancement |
Few- | shot | Object Detection and Viewpoint Estimation for Objects in the Wild |
Few- | shot | Object Detection by Attending to Per-Sample-Prototype |
Few- | shot | Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations |
Few- | shot | Object Detection by Second-order Pooling |
Few- | shot | Object Detection in Remote Sensing Image Interpretation: Opportunities and Challenges |
Few- | shot | Object Detection in Remote Sensing Imagery via Fuse Context Dependencies and Global Features |
Few- | shot | Object Detection on Remote Sensing Images |
Few- | shot | Object Detection on Remote Sensing Images via Shared Attention Module and Balanced Fine-Tuning Strategy |
Few- | shot | object detection via baby learning |
Few- | shot | Object Detection via Classification Refinement and Distractor Retreatment |
Few- | shot | Object Detection via Feature Reweighting |
Few- | shot | Object Detection via Improved Classification Features |
Few- | shot | Object Detection With Attention-RPN and Multi-Relation Detector |
Few- | shot | Object Detection with Fully Cross-Transformer |
Few- | shot | Object Detection with Model Calibration |
Few- | shot | Object Detection with Proposal Balance Refinement |
Few- | shot | Object Recognition from Machine-Labeled Web Images |
Few- | shot | Open-set Recognition by Transformation Consistency |
Few- | shot | Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network |
Few- | shot | Open-Set Recognition Using Meta-Learning |
Few- | shot | Partial Multi-View Learning |
Few- | shot | personalized saliency prediction using meta-learning |
Few- | shot | Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression |
Few- | shot | Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information |
Few- | shot | Physically-Aware Articulated Mesh Generation via Hierarchical Deformation |
Few- | shot | Pill Recognition |
Few- | shot | PolSAR Ship Detection Based on Polarimetric Features Selection and Improved Contrastive Self-Supervised Learning |
Few- | shot | prototype alignment regularization network for document image layout segementation |
Few- | shot | Radar Emitter Signal Recognition Based on Attention-Balanced Prototypical Network |
Few- | shot | Referring Relationships in Videos |
Few- | shot | Remote Sensing Image Scene Classification Based on Metric Learning and Local Descriptors |
Few- | shot | SAR Target Classification via Metalearning |
Few- | shot | SAR-ATR Based on Instance-Aware Transformer |
Few- | shot | Scene Adaptive Crowd Counting Using Meta-Learning |
Few- | shot | Scene-adaptive Anomaly Detection |
Few- | shot | segmentation for esophageal OCT images based on self-supervised vision transformer |
Few- | shot | Segmentation for Prohibited Items Inspection With Patch-Based Self-Supervised Learning and Prototype Reverse Validation |
Few- | shot | Segmentation via Divide-and-Conquer Proxies |
Few- | shot | Segmentation With Optimal Transport Matching and Message Flow |
Few- | shot | Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? |
Few- | shot | Semantic Image Synthesis with Class Affinity Transfer |
Few- | shot | Semantic Segmentation via Frequency Guided Neural Network |
Few- | shot | Semantic Segmentation with Cyclic Memory Network |
Few- | shot | Semantic Segmentation with Democratic Attention Networks |
Few- | shot | Shape Recognition by Learning Deep Shape-aware Features |
Few- | shot | Single-view 3-d Object Reconstruction with Compositional Priors |
Few- | shot | Single-View 3D Reconstruction with Memory Prior Contrastive Network |
Few- | shot | Speaker Identification Using Lightweight Prototypical Network With Feature Grouping and Interaction |
Few- | shot | Structured Domain Adaptation for Virtual-to-Real Scene Parsing |
Few- | shot | Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images |
Few- | shot | symbol classification via self-supervised learning and nearest neighbor |
Few- | shot | Temporal Sentence Grounding via Memory-Guided Semantic Learning |
Few- | shot | Text Style Transfer via Deep Feature Similarity |
Few- | shot | traffic sign recognition with clustering inductive bias and random neural network |
Few- | shot | Transformation of Common Actions into Time and Space |
Few- | shot | Unsupervised Image-to-Image Translation |
Few- | shot | Video Classification via Representation Fusion and Promotion Learning |
Few- | shot | Video Classification via Temporal Alignment |
Few- | shot | Video Object Detection |
Few- | shot | Visual Classification Using Image Pairs With Binary Transformation |
Few- | shot | Visual Relationship Co-Localization |
Few- | shot | Weakly-Supervised Object Detection via Directional Statistics |
Few- | shot | Website Fingerprinting attack with Meta-Bias Learning |
Few- | shot | Zero-shot Learning: Knowledge Transfer with Less Supervision |
Few- | shot | Zero-shot Learning: Knowledge Transfer with Less Supervision |
FewFaceNet: A Lightweight Few- | shot | Learning-based Incremental Face Authentication for Edge Cameras |
FewSOME: One-Class Few | shot | Anomaly Detection with Siamese Networks |
FFD Augmentor: Towards Few- | shot | Oracle Character Recognition from Scratch |
FGN: Fully Guided Network for Few- | shot | Instance Segmentation |
Field-Guide-Inspired Zero- | shot | Learning |
Fight Ill-Posedness with Ill-Posedness: Single- | shot | Variational Depth Super-Resolution from Shading |
Film | shot | classification using directing semantics |
Film | shot | Type Classification Based on Camera Movement Styles |
Finding people in repeated | shot | s of the same scene |
Finding Task-Relevant Features for Few- | shot | Learning by Category Traversal |
Fine Tuning, Fine-Tuning, Pre-Training, Zero- | shot | , One-Shot |
Fine Tuning, Fine-Tuning, Pre-Training, Zero- | shot | , One-Shot |
Fine-Grained Feature Generation for Generalized Zero- | shot | Video Classification |
Fine-Grained Generalized Zero- | shot | Learning via Dense Attribute-Based Attention |
Fine-grained Generation for Zero- | shot | Learning |
Fine-Grained Object Recognition and Zero- | shot | Learning in Remote Sensing Imagery |
Fine-Grained Representation Alignment for Zero- | shot | Domain Adaptation |
Fine-Tuned but Zero- | shot | 3D Shape Sketch View Similarity and Retrieval |
Fine-tuning for One-look Regression Vehicle Counting in Low- | shot | Aerial Datasets |
Finetune like you pretrain: Improved finetuning of zero- | shot | vision models |
First-Person Action Decomposition and Zero- | shot | Learning |
FlipNeRF: Flipped Reflection Rays for Few- | shot | Novel View Synthesis |
Flow-guided One- | shot | Talking Face Generation with a High-resolution Audio-visual Dataset |
FLUID: Few- | shot | Self-Supervised Image Deraining |
FMSSD: Feature-Merged Single- | shot | Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery |
FontTransformer: Few- | shot | high-resolution Chinese glyph image synthesis via stacked transformers |
Forensic and anti-forensic techniques for video | shot | editing in H.264/AVC |
Formal Study of | shot | Boundary Detection, A |
Forward Compatible Few- | shot | Class-Incremental Learning |
Foveated | shot | Detection for Video Segmentation |
FPIseg: Iterative segmentation network based on feature pyramid for few- | shot | segmentation |
FRDet: Few- | shot | object detection via feature reconstruction |
FREE: Feature Refinement for Generalized Zero- | shot | Learning |
FreeNeRF: Improving Few- | shot | Neural Rendering with Free Frequency Regularization |
Frequency-Aware Multi-Modal Fine-Tuning for Few- | shot | Open-Set Remote Sensing Scene Classification |
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One- | shot | In-Field Reflectance |
From Classical to Generalized Zero- | shot | Learning: A Simple Adaptation Process |
From generalized zero- | shot | learning to long-tail with class descriptors |
From Images to Textual Prompts: Zero- | shot | Visual Question Answering with Frozen Large Language Models |
From Instance to Metric Calibration: A Unified Framework for Open-World Few- | shot | Learning |
From Less to More: Progressive Generalized Zero- | shot | Detection With Curriculum Learning |
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero- | shot | Detection |
From patch, sample to domain: Capture geometric structures for few- | shot | learning |
From Video | shot | Clustering to Sequence Segmentation |
From Zero- | shot | Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis |
FS-BAN: Born-Again Networks for Domain Generalization Few- | shot | Classification |
FS-DETR: Few- | shot | DEtection TRansformer with prompting and without re-training |
Fs-DSM: Few- | shot | Diagram-Sentence Matching via Cross-Modal Attention Graph Model |
FS6D: Few- | shot | 6D Pose Estimation of Novel Objects |
FSCE: Few- | shot | Object Detection via Contrastive Proposal Encoding |
Fsft-Net: Face Transfer Video Generation With Few- | shot | Views |
FSRDD: An Efficient Few- | shot | Detector for Rare City Road Damage Detection |
FSS-1000: A 1000-Class Dataset for Few- | shot | Segmentation |
FSSDD: Few- | shot | steel defect detection based on multi-scale semantic enhancement representation and mask category information mapping |
FSTrack: One- | shot | Multi-Object Tracking Algorithm Based on Feature Enhancement and Similarity Estimation |
Fully-Binarized Distance Computation based On-device Few- | shot | Learning for XR applications |
Fusion Strategy for the Single | shot | Text Detector, A |
fuzzy logic approach for detection of video | shot | boundaries, A |
fuzzy logic method of feature representation for | shot | boundary detection, A |
G- | shot | : GPU accelerated 3D local descriptor for surface matching |
GAN for vision, KG for relation: A two-stage network for zero- | shot | action recognition |
GAN-MVAE: A discriminative latent feature generation framework for generalized zero- | shot | learning |
GANimation: One- | shot | Anatomically Consistent Facial Animation |
GANORCON: Are Generative Models Useful for Few- | shot | Segmentation? |
Gated bidirectional feature pyramid network for accurate one- | shot | detection |
Gaussian meta-feature balanced aggregation for few- | shot | synthetic aperture radar target detection |
Gaze Embeddings for Zero- | shot | Image Classification |
GCT: Graph Co-Training for Semi-Supervised Few- | shot | Learning |
General Image-to-Image Translation with One- | shot | Image Guidance |
Generalised Zero- | shot | Learning with Multi-modal Embedding Spaces |
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few- | shot | Learning |
Generalization of pixel-wise phase estimation by CNN and improvement of phase-unwrapping by MRF optimization for one- | shot | 3D scan |
Generalized and Incremental Few- | shot | Learning by Explicit Learning and Calibration without Forgetting |
Generalized few- | shot | object detection in remote sensing images |
Generalized Few- | shot | Object Detection without Forgetting |
Generalized Few- | shot | Point Cloud Segmentation Via Geometric Words |
Generalized Few- | shot | Semantic Segmentation |
Generalized Few- | shot | Video Classification With Video Retrieval and Feature Generation |
Generalized Meta-FDMixup: Cross-Domain Few- | shot | Learning Guided by Labeled Target Data |
Generalized Zero- and Few- | shot | Learning via Aligned Variational Autoencoders |
Generalized Zero- | shot | Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training |
Generalized zero- | shot | classification via iteratively generating and selecting unseen samples |
Generalized Zero- | shot | Cross-Modal Retrieval |
Generalized Zero- | shot | Learning Framework for PolSAR Land Cover Classification, A |
Generalized Zero- | shot | Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts |
Generalized Zero- | shot | Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network |
Generalized Zero- | shot | Learning via Over-Complete Distribution |
Generalized Zero- | shot | Learning via Synthesized Examples |
Generalized Zero- | shot | Learning With Multi-Channel Gaussian Mixture VAE |
Generalized Zero- | shot | Quantization of Deep Convolutional Neural Networks Via Learned Weights Statistics, A |
Generalized Zero- | shot | Recognition Based on Visually Semantic Embedding |
Generalized Zero- | shot | Recognition Through Image-Guided Semantic Classification |
Generalized Zero- | shot | Space Target Recognition Based on Global-Local Visual Feature Embedding Network |
Generalizing Few- | shot | Classification of Whole-Genome Doubling Across Cancer Types |
Generalizing Spacecraft Recognition via Diversifying Few- | shot | Datasets in a Joint Trained Likelihood |
Generating Classification Weights With GNN Denoising Autoencoders for Few- | shot | Learning |
Generating diverse augmented attributes for generalized zero | shot | learning |
Generating Features with Increased Crop-Related Diversity for Few- | shot | Object Detection |
Generating high quality pan- | shot | s from motion blurred videos |
Generating Manifold-Aligned Semantic Feature for Zero- | shot | Learning |
Generating Representative Samples for Few- | shot | Classification |
Generating Videos of Zero- | shot | Compositions of Actions and Objects |
Generating Visual Representations for Zero- | shot | Classification |
Generation of Virtual Dual Energy Images from Standard Single- | shot | Radiographs Using Multi-scale and Conditional Adversarial Network |
Generation-based contrastive model with semantic alignment for generalized zero- | shot | learning |
Generative Adversarial Approach for Zero- | shot | Learning from Noisy Texts, A |
Generative Adversarial Network and Mutual-Point Learning Algorithm for Few- | shot | Open-Set Classification of Hyperspectral Images |
Generative adversarial U-Net for domain-free few- | shot | medical diagnosis |
Generative Approach to Zero- | shot | and Few-Shot Action Recognition, A |
Generative Approach to Zero- | shot | and Few-Shot Action Recognition, A |
Generative Dual Adversarial Network for Generalized Zero- | shot | Learning |
Generative Framework for Zero- | shot | Learning with Adversarial Domain Adaptation, A |
Generative Model for Zero | shot | Learning Using Conditional Variational Autoencoders, A |
Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero- | shot | Learning |
Generative Multi-Label Zero- | shot | Learning |
Generative Sparse Detection Networks for 3d Single- | shot | Object Detection |
Generative Zero- | shot | Learning for Semantic Segmentation of 3D Point Clouds |
Generative Zero- | shot | Learning via Low-Rank Embedded Semantic Dictionary |
Generative Zero- | shot | Network Quantization |
Generic Process Chain to Extract Key-Objects from Video | shot | s, A |
Genre-specific modeling of visual features for efficient content based video | shot | classification and retrieval |
GeoAug: Data Augmentation for Few- | shot | NeRF with Geometry Constraints |
Geodesic-Former: A Geodesic-Guided Few- | shot | 3D Point Cloud Instance Segmenter |
Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single- | shot | Detector with Activated Semantics |
Gestalt-guided Image Understanding for Few- | shot | Learning |
Gestural Interactions of Embodied Educational Technology Using One- | shot | Machine Learning |
Gesture sequence recognition with one | shot | learned CRF/HMM hybrid model |
GIFSL: Grafting based improved few- | shot | learning |
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero- | shot | Learning |
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few- | shot | Class Incremental Task |
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few- | shot | Learning |
Global Information Embedding Network for Few- | shot | Learning |
Global Motion Representation of Video | shot | Based on Vector Quantization Index Histogram |
Global Semantic Descriptors for Zero- | shot | Action Recognition |
Global- and local-aware feature augmentation with semantic orthogonality for few- | shot | image classification |
Global-Local Interplay in Semantic Alignment for Few- | shot | Learning |
Globally Optimal Object Tracking with Complementary Use of Single | shot | Multibox Detector and Fully Convolutional Network |
Glocal Energy-based Learning for Few- | shot | Open-Set Recognition |
Goal-Oriented Gaze Estimation for Zero- | shot | Learning |
Golf | shot | tracking and analysis system |
GPr-Net: Geometric Prototypical Network for Point Cloud Few- | shot | Learning |
GPU- | shot | : Parallel Optimization for Real-Time 3D Local Description |
Gradient Matching Generative Networks for Zero- | shot | Learning |
Gradual transition detection using color coherence and other criteria in a video | shot | meta-segmentation framework |
Graph Affinity Network for Few- | shot | Segmentation |
Graph Complemented Latent Representation for Few- | shot | Image Classification |
Graph Neural Networks With Triple Attention for Few- | shot | Learning |
graph-based approach for robust single- | shot | structured light, A |
Graph-Based Deep Multitask Few- | shot | Learning for Hyperspectral Image Classification |
Graph-Based Domain Adaptation Few- | shot | Learning for Hyperspectral Image Classification |
Graph-Based Embedding Smoothing Network for Few- | shot | Scene Classification of Remote Sensing Images |
Graph-based Interpolation of Feature Vectors for Accurate Few- | shot | Classification |
Graph-Based Visual-Semantic Entanglement Network for Zero- | shot | Image Recognition |
GreedyNAS: Towards Fast One- | shot | NAS With Greedy Supernet |
Grid-Based Active Stereo with Single-Colored Wave Pattern for Dense One- | shot | 3D Scan |
Grid-Transformer for Few- | shot | Hyperspectral Image Classification |
Grouping video | shot | s into scenes based on 1D mosaic descriptors |
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero- | shot | Learning |
Guided CNN for generalized zero- | shot | and open-set recognition using visual and semantic prototypes |
H-RNet: Hybrid Relation Network for Few- | shot | Learning-Based Hyperspectral Image Classification |
H-YOLO: A Single- | shot | Ship Detection Approach Based on Region of Interest Preselected Network |
H3D-Net: Few- | shot | High-Fidelity 3D Head Reconstruction |
Hallucination Improves Few- | shot | Object Detection |
Hamming Color Code for Dense and Robust One- | shot | 3D Scanning |
Hard Negative Mining for Metric Learning Based Zero- | shot | Classification |
Hard Sample Matters a Lot in Zero- | shot | Quantization |
Hard Zero | shot | Learning for Gesture Recognition |
Hardmix: A Regularization Method to Mitigate the Large Shift in Few- | shot | Domain Adaptation |
Hardness Sampling for Self-Training Based Transductive Zero- | shot | Learning |
Hardware-Aware Zero- | shot | Neural Architecture Search |
Harmonic Feature Activation for Few- | shot | Semantic Segmentation |
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few- | shot | Segmentation |
HDGN: Heat diffusion graph network for few- | shot | learning |
HeadGAN: One- | shot | Neural Head Synthesis and Editing |
HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few- | shot | Classification |
HENC: Hierarchical Embedding Network With Center Calibration for Few- | shot | Fine-Grained SAR Target Classification |
Heterogeneous Few- | shot | Model Rectification With Semantic Mapping |
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero- | shot | Learning |
Heterogeneous Representation Learning and Matching for Few- | shot | Relation Prediction |
heuristic algorithm for video scene detection using | shot | cluster sequence analysis, A |
HGNet: Hybrid Generative Network for Zero- | shot | Domain Adaptation |
Hierarchical Co-Attention Propagation Network for Zero- | shot | Video Object Segmentation |
Hierarchical context-agnostic network with contrastive feature diversity for one- | shot | semantic segmentation |
Hierarchical Coupled Discriminative Dictionary Learning for Zero- | shot | Learning |
Hierarchical Dense Correlation Distillation for Few- | shot | Segmentation |
Hierarchical Disentanglement of Discriminative Latent Features for Zero- | shot | Learning |
Hierarchical Graph Attention Network for Few- | shot | Visual-Semantic Learning |
Hierarchical Graph Neural Networks for Few- | shot | Learning |
Hierarchical Graph Pattern Understanding for Zero- | shot | Video Object Segmentation |
Hierarchical Multiresolution Video | shot | Transition Detection Scheme, A |
Hierarchical Prototype Learning for Zero- | shot | Recognition |
Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few- | shot | Learning |
Hierarchical Pseudo Labeling Based Embranchment Learning for One- | shot | Person Re-Identification |
Hierarchical | shot | Detector |
Hierarchical Transformation-Discriminating Generative Model for Few | shot | Anomaly Detection, A |
Hierarchical Visual Primitive Experts for Compositional Zero- | shot | Learning |
Hierarchical zero- | shot | classification with convolutional neural network features and semantic attribute learning |
High accuracy flashlight scene determination for | shot | boundary detection |
High Resolution Zero- | shot | Domain Adaptation of Synthetically Rendered Face Images |
High-Fidelity Zero- | shot | Texture Anomaly Localization Using Feature Correspondence Analysis |
high-performance | shot | boundary detection algorithm using multiple cues, A |
High-Quality and Diverse Few- | shot | Image Generation via Masked Discrimination |
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few- | shot | Parameter-Efficient Tuning |
Hippocampus-heuristic character recognition network for zero- | shot | learning in Chinese character recognition |
HM: Hybrid Masking for Few- | shot | Segmentation |
Holistic Prototype Activation for Few- | shot | Segmentation |
How robust are discriminatively trained zero- | shot | learning models? |
How to Transfer? Zero- | shot | Object Recognition via Hierarchical Transfer of Semantic Attributes |
How to Trust Unlabeled Data? Instance Credibility Inference for Few- | shot | Learning |
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few- | shot | Learning with Hyperspherical Embeddings |
Human Mesh Recovery from Multiple | shot | s |
Hybrid attention mechanism for few- | shot | relational learning of knowledge graphs |
Hybrid Consistency Training with Prototype Adaptation for Few- | shot | Learning |
Hybrid Contrastive Prototypical Network for Few- | shot | Scene Classification |
Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One- | shot | Representation Forecasting, A |
Hybrid feature enhancement network for few- | shot | semantic segmentation |
Hybrid Inference Network for Few- | shot | SAR Automatic Target Recognition |
Hybrid One- | shot | 3D Hand Pose Estimation by Exploiting Uncertainties |
Hybrid Relation Guided Set Matching for Few- | shot | Action Recognition |
Hybrid routing transformer for zero- | shot | learning |
Hybrid-Attention Based Decoupled Metric Learning for Zero- | shot | Image Retrieval |
Hyperbolic Audio-visual Zero- | shot | Learning |
Hyperbolic prototypical network for few | shot | remote sensing scene classification |
Hyperbolic Visual Embedding Learning for Zero- | shot | Recognition |
Hyperbolic vs Euclidean Embeddings in Few- | shot | Learning: Two Sides of the Same Coin |
Hypercorrelation Squeeze for Few- | shot | Segmenation |
HyperMix: Out-of-Distribution Detection and Classification in Few- | shot | Settings |
HyperReenact: One- | shot | Reenactment via Jointly Learning to Refine and Retarget Faces |
HyperSegNAS: Bridging One- | shot | Neural Architecture Search with 3D Medical Image Segmentation using HyperNet |
Hyper | shot | : Few-Shot Learning by Kernel HyperNetworks |
Hyperspectral Imaging Zero- | shot | Learning for Remote Marine Litter Detection and Classification |
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few- | shot | Action Recognition |
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero- | shot | Image Classification |
Identification of Novel Classes for Improving Few- | shot | Object Detection |
Identification of Successive Correlated Camera | shot | s Using Audio and Video Information |
iFS-RCNN: An Incremental Few- | shot | Instance Segmenter |
IFSM: An Iterative Feature Selection Mechanism for Few- | shot | Image Classification |
IFSS-Net: Interactive Few- | shot | Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound |
Image De-Noising by Selective Filtering Based on Double- | shot | Pictures |
Image Deformation Meta-Networks for One- | shot | Learning |
Image-free Classifier Injection for Zero- | shot | Classification |
Imaging through distributed-volume aberrations using single- | shot | digital holography |
IMOTION: Searching for Video Sequences Using Multi- | shot | Sketch Queries |
Impact of Base Dataset Design on Few- | shot | Image Classification |
Implicit Shape Biased Few- | shot | Learning for 3D Object Generalization |
Imposing Semantic Consistency of Local Descriptors for Few- | shot | Learning |
Improved Algorithm for Anchor | shot | Detection, An |
Improved Continually Evolved Classifiers for Few- | shot | Class-Incremental Learning |
Improved Few- | shot | Visual Classification |
Improved Hard Example Mining Approach for Single | shot | Object Detectors |
Improved Indirect Attribute Weighted Prediction Model for Zero- | shot | Image Classification, An |
Improved prototypical network for active few- | shot | learning |
Improved prototypical networks for few- | shot | learning |
improved rate control algorithm based on a novel | shot | detection scheme for the H.264/AVC standard, An |
Improved | shot | boundary detection method based on text edges |
Improving Adversarially Robust Few- | shot | Image Classification with Generalizable Representations |
Improving Diversity in Zero- | shot | GAN Adaptation with Semantic Variations |
Improving Embedding Generalization in Few- | shot | Learning With Instance Neighbor Constraints |
Improving Few- | shot | Learning by Spatially-aware Matching and Crosstransformer |
Improving Few- | shot | Learning Through Multi-task Representation Learning Theory |
Improving Few- | shot | Learning using Composite Rotation based Auxiliary Task |
Improving Few- | shot | Part Segmentation Using Coarse Supervision |
Improving Few- | shot | User-Specific Gaze Adaptation via Gaze Redirection Synthesis |
Improving generalized zero- | shot | learning via cluster-based semantic disentangling representation |
Improving metric-based few- | shot | learning with dynamically scaled softmax loss |
Improving One- | shot | NAS by Suppressing the Posterior Fading |
Improving Person Re-identification via Pose-Aware Multi- | shot | Matching |
Improving Pre-Training and Fine-Tuning for Few- | shot | SAR Automatic Target Recognition |
Improving Semantic Embedding Consistency by Metric Learning for Zero- | shot | Classiffication |
Improving Single | shot | Object Detection With Feature Scale Unmixing |
Improving the Generalization of MAML in Few- | shot | Classification via Bi-Level Constraint |
Improving Zero- | shot | Generalization and Robustness of Multi-Modal Models |
Incidence of the Sample Size Distribution on One- | shot | Federated Learning |
Incorporating Depth Information into Few- | shot | Semantic Segmentation |
Incorporating Visual Grounding In GCN For Zero- | shot | Learning Of Human Object Interaction Actions |
Incremental Few- | shot | Instance Segmentation |
Incremental Few- | shot | Meta-learning via Indirect Discriminant Alignment |
Incremental Few- | shot | Object Detection |
Incremental few- | shot | object detection via knowledge transfer |
Incremental Few- | shot | Object Detection with Scale- and Centerness-Aware Weight Generation |
Incremental Meta-Learning via Episodic Replay Distillation for Few- | shot | Image Recognition |
Incremental zero- | shot | learning based on attributes for image classification |
Incrementally Zero- | shot | Detection by an Extreme Value Analyzer |
Indexing and Matching of Video | shot | s Based on Motion and Color Analysis |
Indexing for reuse of TV news | shot | s |
Indirect decoding edges for one- | shot | shape acquisition |
InDiReCT: Language-Guided Zero- | shot | Deep Metric Learning for Images |
Inductive and Transductive Few- | shot | Video Classification via Appearance and Temporal Alignments |
Infer unseen from seen: Relation regularized zero- | shot | visual dialog |
Inference-Domain Network Evolution: A New Perspective for One- | shot | Multi-Object Tracking |
InfoNeRF: Ray Entropy Minimization for Few- | shot | Neural Volume Rendering |
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few- | shot | Learning |
Information Theory-Based | shot | Cut/Fade Detection and Video Summarization |
Informative Data Mining for One- | shot | Cross-Domain Semantic Segmentation |
InFusion: Inject and Attention Fusion for Multi Concept Zero- | shot | Text-based Video Editing |
Instance Credibility Inference for Few- | shot | Learning |
Instance-Based Zero- | shot | learning for semi-Automatic MeSH indexing |
Instance-Level Few- | shot | Learning With Class Hierarchy Mining |
Integrated generalized zero- | shot | learning for fine-grained classification |
Integrated | shot | boundary detection using object-based technique |
Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero- | shot | Remote Sensing Image Scene Classification |
Integrating topology beyond descriptions for zero- | shot | learning |
Integrative Few- | shot | Learning for Classification and Segmentation |
Intelligent Missing | shot | s' Reconstruction Using the Spatial Reciprocity of Green's Function Based on Deep Learning |
Inter-Modality Fusion Based Attention for Zero- | shot | Cross-Modal Retrieval |
Interaction Compass: Multi-Label Zero- | shot | Learning of Human-Object Interactions via Spatial Relations |
Interaction-Aware Prompting for Zero- | shot | Spatio-Temporal Action Detection |
Interactive Few- | shot | Learning: Limited Supervision, Better Medical Image Segmentation |
Interactive retrieval of video using pre-computed | shot | -shot similarities |
Interactive retrieval of video using pre-computed | shot | -shot similarities |
Interclass Prototype Relation for Few- | shot | Segmentation |
Interpretable Compositional Representations for Robust Few- | shot | Generalization |
Interpretable Concept-Based Prototypical Networks for Few- | shot | Learning |
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero- | shot | Network Quantization |
Invariant Training 2D-3D Joint Hard Samples for Few- | shot | Point Cloud Recognition |
Inverse Mapping with Manifold Alignment for Zero- | shot | Learning, An |
Invertible Zero- | shot | Recognition Flows |
IRA-FSOD: Instant-Response and Accurate Few- | shot | Object Detector |
ISAR: A Benchmark for Single- and Few- | shot | Object Instance Segmentation and Re-Identification |
Isomer: Isomerous Transformer for Zero- | shot | Video Object Segmentation |
It's All In the Teacher: Zero- | shot | Quantization Brought Closer to the Teacher |
Iterative Class Prototype Calibration for Transductive Zero- | shot | Learning |
Iterative Co-Training Transductive Framework for Zero | shot | Learning, An |
Iterative label cleaning for transductive and semi-supervised few- | shot | learning |
Iterative Local-Global Collaboration Learning Towards One- | shot | Video Person Re-Identification |
Iterative reconstruction of single- | shot | spiral MRI with off resonance |
JAWS: Just A Wild | shot | for Cinematic Transfer in Neural Radiance Fields |
Joint attribute chain prediction for zero- | shot | learning |
Joint Co-Attention and Co-Reconstruction Representation Learning for One- | shot | Object Detection |
joint cumulative distribution function and gradient fusion based method for dehazing of long | shot | hazy images, A |
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single- | shot | HDR Imaging |
Joint Distribution Matters: Deep Brownian Distance Covariance for Few- | shot | Classification |
Joint Feature Disentanglement and Hallucination for Few- | shot | Image Classification |
Joint Feature Generation and Open-set Prototype Learning for generalized zero- | shot | open-set classification |
Joint Framework Towards Class-aware and Class-Agnostic Alignment for Few- | shot | Segmentation, A |
Joint Generative Model for Zero- | shot | Learning, A |
Joint graph regularized dictionary learning and sparse ranking for multi-modal multi- | shot | person re-identification |
Joint Label Space for Generalized Zero- | shot | Classification, A |
Joint probability estimation of attribute chain for zero- | shot | learning |
Joint | shot | boundary detection and key frame extraction |
Joint Video- | shot | and Layer Indexing in Video-Surveillance Application |
Jointly learning compact multi-view hash codes for few- | shot | FKP recognition |
Jointly Learning the Attributes and Composition of | shot | s for Boundary Detection in Videos |
JoJoGAN: One | shot | Face Stylization |
k-NN embeded space conditioning for enhanced few- | shot | object detection |
K- | shot | Contrastive Learning of Visual Features With Multiple Instance Augmentations |
Kernel Relative-prototype Spectral Filtering for Few- | shot | Learning |
Kernelized Few- | shot | Object Detection with Efficient Integral Aggregation |
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero- | shot | Learning |
Kids Take Their Best | shot | (and Learn about Electronics in the Process) |
Know You at One Glance: A Compact Vector Representation for Low- | shot | Learning |
Knowing What to Label for Few | shot | Microscopy Image Cell Segmentation |
Knowledge driven weights estimation for large-scale few- | shot | image recognition |
Knowledge transduction for cross-domain few- | shot | learning |
Knowledge-Guided Multi-Label Few- | shot | Learning for General Image Recognition |
Label Independent Memory for Semi-Supervised Few- | shot | Video Classification |
Label, Verify, Correct: A Simple Few | shot | Object Detection Method |
Labeled from Unlabeled: Exploiting Unlabeled Data for Few- | shot | Deep HDR Deghosting |
Language Models are Causal Knowledge Extractors for Zero- | shot | Video Question Answering |
Language-Augmented Pixel Embedding for Generalized Zero- | shot | Learning |
Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero- | shot | Adaptation of V&L Models |
Language-free Training for Zero- | shot | Video Grounding |
Laplacian object: One- | shot | object detection by locality preserving projection |
Large-scale Cross-domain Few- | shot | Learning |
Large-scale Few- | shot | Learning via Multi-modal Knowledge Discovery |
Large-Scale Few- | shot | Learning: Knowledge Transfer With Class Hierarchy |
LaSO: Label-Set Operations Networks for Multi-Label Few- | shot | Learning |
Latent Concept Extraction for Zero- | shot | Video Retrieval |
Latent Embedding Feedback and Discriminative Features for Zero- | shot | Classification |
Latent Embeddings for Zero- | shot | Classification |
Latent Space of Stochastic Diffusion Models for Zero- | shot | Image Editing and Guidance, A |
Layer-Wise Adaptive Updating for Few- | shot | Image Classification |
Learn to abstract via concept graph for weakly-supervised few- | shot | learning |
Learn to Few- | shot | Segment Remote Sensing Images from Irrelevant Data |
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few- | shot | Facial Expression Recognition |
Learnable Distribution Calibration for Few- | shot | Class-Incremental Learning |
learnable support selection scheme for boosting few- | shot | segmentation, A |
Learned Spatial Representations for Few- | shot | Talking-Head Synthesis |
Learning a Deep Embedding Model for Zero- | shot | Learning |
Learning a Latent Space with Triplet Network for Few- | shot | Image Classification |
Learning Across Tasks for Zero- | shot | Domain Adaptation From a Single Source Domain |
Learning Adaptive Classifiers Synthesis for Generalized Few- | shot | Learning |
Learning adversarial semantic embeddings for zero- | shot | recognition in open worlds |
Learning Affine Hull Representations for Multi- | shot | Person Re-Identification |
Learning Attention as Disentangler for Compositional Zero- | shot | Learning |
Learning Attention Propagation for Compositional Zero- | shot | Learning |
Learning attention-guided pyramidal features for few- | shot | fine-grained recognition |
Learning Calibrated Class Centers for Few- | shot | Classification by Pair-Wise Similarity |
Learning Class Prototypes via Structure Alignment for Zero- | shot | Recognition |
Learning complementary semantic information for zero- | shot | recognition |
Learning Compositional Representations for Few- | shot | Recognition |
Learning Conditional Attributes for Compositional Zero- | shot | Learning |
Learning Cross-Domain Semantic-Visual Relationships for Transductive Zero- | shot | Learning |
Learning Deep Cross-Modal Embedding Networks for Zero- | shot | Remote Sensing Image Scene Classification |
Learning discriminative and meaningful samples for generalized zero | shot | classification |
Learning Discriminative Latent Attributes for Zero- | shot | Classification |
Learning discriminative visual semantic embedding for zero- | shot | recognition |
Learning Dual-Pooling Graph Neural Networks for Few- | shot | Video Classification |
Learning Dual-Routing Capsule Graph Neural Network for Few- | shot | Video Classification |
Learning Dynamic Alignment via Meta-filter for Few- | shot | Learning |
Learning Dynamic Facial Radiance Fields for Few- | shot | Talking Head Synthesis |
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero- | shot | Learning |
Learning Few- | shot | Segmentation from Bounding Box Annotations |
Learning for Single- | shot | Confidence Calibration in Deep Neural Networks Through Stochastic Inferences |
Learning Foreground Information Bottleneck for few- | shot | semantic segmentation |
Learning from What is Already Out There: Few- | shot | Sign Language Recognition with Online Dictionaries |
Learning Graph Embeddings for Compositional Zero- | shot | Learning |
Learning Graph Embeddings for Open World Compositional Zero- | shot | Learning |
Learning Instance and Task-Aware Dynamic Kernels for Few- | shot | Learning |
Learning Internal Semantics with Expanded Categories for Generative Zero- | shot | Learning |
Learning Invariant Visual Representations for Compositional Zero- | shot | Learning |
Learning Low- | shot | Generative Networks for Cross-Domain Data |
Learning Meta-class Memory for Few- | shot | Semantic Segmentation |
Learning MLatent Representations for Generalized Zero- | shot | Learning |
Learning Motion-Appearance Co-Attention for Zero- | shot | Video Object Segmentation |
Learning multi-level weight-centric features for few- | shot | learning |
Learning Non-target Knowledge for Few- | shot | Semantic Segmentation |
Learning object-centric complementary features for zero- | shot | learning |
Learning One- | shot | Exemplar SVM from the Web for Face Verification |
Learning Orthogonal Prototypes for Generalized Few- | shot | Semantic Segmentation |
Learning Point Embeddings from Shape Repositories for Few- | shot | Segmentation |
Learning Rank-1 Diffractive Optics for Single- | shot | High Dynamic Range Imaging |
Learning Relative Feature Displacement for Few- | shot | Open-Set Recognition |
Learning Rich Features at High-Speed for Single- | shot | Object Detection |
Learning Scene-Aware Spatio-Temporal GNNs for Few- | shot | Early Action Prediction |
Learning self-target knowledge for few- | shot | segmentation |
Learning Semantics-Guided Visual Attention for Few- | shot | Image Classification |
Learning Spatial-Preserved Skeleton Representations for Few- | shot | Action Recognition |
Learning Spatially-Adaptive Squeeze-Excitation Networks for Few | shot | Image Synthesis |
Learning Spatio-Temporal Semantics and Cluster Relation for Zero- | shot | Action Recognition |
Learning Style Correlation for Elaborate Few- | shot | Classification |
Learning the Compositional Domains for Generalized Zero- | shot | Learning |
Learning the Redundancy-Free Features for Generalized Zero- | shot | Object Recognition |
Learning to Adapt CLIP for Few- | shot | Monocular Depth Estimation |
Learning to Adapt to Domain Shifts with Few- | shot | Samples in Anomalous Sound Detection |
Learning to Adapt With Memory for Probabilistic Few- | shot | Learning |
Learning to Affiliate: Mutual Centralized Learning for Few- | shot | Classification |
Learning to Capture the Query Distribution for Few- | shot | Learning |
Learning to Class-Adaptively Manipulate Embeddings for Few- | shot | Learning |
Learning to Compare Relation: Semantic Alignment for Few- | shot | Learning |
Learning to Compare: Relation Network for Few- | shot | Learning |
Learning to Learn Task-Adaptive Hyperparameters for Few- | shot | Learning |
Learning to Memorize Feature Hallucination for One- | shot | Image Generation |
Learning to Model Relationships for Zero- | shot | Video Classification |
Learning to Select Base Classes for Few- | shot | Classification |
Learning to teach and learn for semi-supervised few- | shot | image classification |
Learning to Visualize Music Through | shot | Sequence for Automatic Concert Video Mashup |
Learning transferable features in meta-learning for few- | shot | text classification |
Learning Unbiased Zero- | shot | Semantic Segmentation Networks Via Transductive Transfer |
Learning Using Privileged Information for Zero- | shot | Action Recognition |
Learning Visual-Spatial Saliency for Multiple- | shot | Person Re-Identification |
Learning Visually Consistent Label Embeddings for Zero- | shot | Learning |
Learning What Not to Segment: A New Perspective on Few- | shot | Segmentation |
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few- | shot | Class-Incremental Learning |
Learning With Memory for Few- | shot | Semantic Segmentation |
Less is More: Zero- | shot | Learning from Online Textual Documents with Noise Suppression |
Less Than Few: Self- | shot | Video Instance Segmentation |
Letting 3D Guide the Way: 3D Guided 2D Few- | shot | Image Classification |
Leveraging Classic Deconvolution and Feature Extraction in Zero- | shot | Image Restoration |
Leveraging Seen and Unseen Semantic Relationships for Generative Zero- | shot | Learning |
Leveraging the Invariant Side of Generative Zero- | shot | Learning |
LFS-GAN: Lifelong Few- | shot | Image Generation |
LibFew | shot | : A Comprehensive Library for Few-Shot Learning |
LiDAR-based single- | shot | global localization solution using a cross-section shape context descriptor, A |
Light Field Super-Resolution with Zero- | shot | Learning |
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One- | shot | Architecture Search |
Linear Transition Detection as a Unified | shot | Detection Approach |
Link the Head to the Beak: Zero | shot | Learning from Noisy Text Description at Part Precision |
LinkNet-Spectral-Spatial-Temporal Transformer Based on Few- | shot | Learning for Mangrove Loss Detection with Small Dataset |
LiT: Zero- | shot | Transfer with Locked-Image text Tuning |
LLM-Planner: Few- | shot | Grounded Planning for Embodied Agents with Large Language Models |
LM-VC: Zero- | shot | Voice Conversion via Speech Generation Based on Language Models |
Local descriptor-based multi-prototype network for few- | shot | Learning |
Local Distance Comparison for Multiple- | shot | People Re-identification |
Local Propagation for Few- | shot | Learning |
Locality based discriminative measure for multiple- | shot | person re-identification |
Locality-Constrained Collaborative Sparse Approximation for Multiple- | shot | Person Re-identification |
Locally-Enriched Cross-Reconstruction for Few- | shot | Fine-Grained Image Classification |
LoFGAN: Fusing Local Representations for Few- | shot | Image Generation |
Look Closer to Supervise Better: One- | shot | Font Generation via Component-Based Discriminator |
Low-Rank Embedded Ensemble Semantic Dictionary for Zero- | shot | Learning |
Low-rank embedded orthogonal subspace learning for zero- | shot | classification |
Low-Rank Pairwise Alignment Bilinear Network For Few- | shot | Fine-Grained Image Classification |
Low- | shot | Face Recognition with Hybrid Classifiers |
Low- | shot | Learning for the Semantic Segmentation of Remote Sensing Imagery |
Low- | shot | Learning From Imaginary 3D Model |
Low- | shot | Learning from Imaginary Data |
Low- | shot | Learning of Plankton Categories |
Low- | shot | Learning with Imprinted Weights |
Low- | shot | Learning with Large-Scale Diffusion |
Low- | shot | Object Counting Network With Iterative Prototype Adaptation, A |
Low- | shot | Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories |
Low- | shot | Visual Recognition by Shrinking and Hallucinating Features |
LSFSL: Leveraging Shape Information in Few- | shot | Learning |
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One- | shot | Medical Image Segmentation |
MA-SARNet: A one- | shot | nowcasting framework for SAR image prediction with physical driving forces |
MA3: Model Agnostic Adversarial Augmentation for Few | shot | learning |
Machine learning based video segmentation of moving scene by motion index using IO detector and | shot | segmentation |
MAEDAY: MAE for few- and zero- | shot | AnomalY-Detection |
Majorities help minorities: Hierarchical structure guided transfer learning for few- | shot | fault recognition |
Making Few- | shot | Object Detection Simpler and Less Frustrating |
ManiFest: Manifold Deformation for Few- | shot | Image Translation |
Many- | shot | from Low-shot: Learning to Annotate Using Mixed Supervision for Object Detection |
Many- | shot | from Low-shot: Learning to Annotate Using Mixed Supervision for Object Detection |
Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few- | shot | Learning |
Margin Maximizing Discriminant Analysis for Multi- | shot | Based Object Recognition |
Marginalized Latent Semantic Encoder for Zero- | shot | Learning |
Mask Encoding for Single | shot | Instance Segmentation |
Mask-Guided Attention and Episode Adaptive Weights for Few- | shot | Segmentation |
Masked Embedding Modeling With Rapid Domain Adjustment for Few- | shot | Image Classification |
MaskSplit: Self-supervised Meta-learning for Few- | shot | Semantic Segmentation |
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few- | shot | Video Classification |
Master: Meta Style Transformer for Controllable Zero- | shot | and Few-Shot Artistic Style Transfer |
Master: Meta Style Transformer for Controllable Zero- | shot | and Few-Shot Artistic Style Transfer |
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero- | shot | Action Recognition with Language Knowledge |
Matching Feature Sets for Few- | shot | Image Classification |
Matching Forensic Sketches and Mug | shot | s to Apprehend Criminals |
Matching Forensic Sketches to Mug | shot | Photos |
MATNet: Motion-Attentive Transition Network for Zero- | shot | Video Object Segmentation |
Matrix Tri-Factorization with Manifold Regularizations for Zero- | shot | Learning |
MDFM: Multi-Decision Fusing Model for Few- | shot | Learning |
Mean gradient descent: an optimization approach for single- | shot | interferogram analysis |
Medical Image Classification Using Generalized Zero | shot | Learning |
Memorizing Complementation Network for Few- | shot | Class-Incremental Learning |
Memory Matching Networks for One- | shot | Image Recognition |
Memory-augmented Variational Adaptation for Online Few- | shot | Segmentation |
Meta Attention-Generation Network for Cross-Granularity Few- | shot | Learning |
Meta Generalized Network for Few- | shot | Classification |
Meta Module Generation for Fast Few- | shot | Incremental Learning |
Meta Navigator: Search for a Good Adaptation Policy for Few- | shot | Learning |
Meta R-CNN: Towards General Solver for Instance-Level Low- | shot | Learning |
Meta-Baseline: Exploring Simple Meta-Learning for Few- | shot | Learning |
Meta-DermDiagnosis: Few- | shot | Skin Disease Identification using Meta-Learning |
Meta-DET3D: Learn to Learn Few- | shot | 3D Object Detection |
Meta-DETR: Image-Level Few- | shot | Detection With Inter-Class Correlation Exploitation |
Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few- | shot | Remote Sensing Scene Classification |
Meta-Generating Deep Attentive Metric for Few- | shot | Classification |
Meta-hallucinating prototype for few- | shot | learning promotion |
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero- | shot | Learning |
Meta-Learning for Few- | shot | Land Cover Classification |
Meta-Learning for Multi-Label Few- | shot | Classification |
Meta-Learning of Neural Architectures for Few- | shot | Learning |
Meta-Learning with Task-Adaptive Loss Function for Few- | shot | Learning |
Meta-learning with topic-agnostic representations for zero- | shot | stance detection |
Meta-Learning-Based Incremental Few- | shot | Object Detection |
Meta-Meta Classification for One- | shot | Learning |
Meta-Transfer Learning for Few- | shot | Learning |
Meta-Transfer Learning for Zero- | shot | Super-Resolution |
Meta-transfer-adjustment learning for few- | shot | learning |
Meta-Tuning Loss Functions and Data Augmentation for Few- | shot | Object Detection |
Meta-ZSDETR: Zero- | shot | DETR with Meta-learning |
MetaCOVID: A Siamese neural network framework with contrastive loss for n- | shot | diagnosis of COVID-19 patients |
MetAdapt: Meta-learned task-adaptive architecture for few- | shot | classification |
MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few- | shot | Learning |
MetaFSCIL: A Meta-Learning Approach for Few- | shot | Class Incremental Learning |
MetalGAN: A Cluster-Based Adaptive Training for Few- | shot | Adversarial Colorization |
MetaMed: Few- | shot | medical image classification using gradient-based meta-learning |
Method and apparatus for detecting and displaying a representative image of a | shot | of short duration in a moving image |
Method for representing contents of a single video | shot | using frames |
method of single- | shot | target detection with multi-scale feature fusion and feature enhancement, A |
Metric3D: Towards Zero- | shot | Metric 3D Prediction from A Single Image |
MFHI: Taking Modality-Free Human Identification as Zero- | shot | Learning |
MFNet: Multiclass Few- | shot | Segmentation Network with Pixel-Wise Metric Learning |
MFS enhanced SAM: Achieving superior performance in bimodal few- | shot | segmentation |
MgSvF: Multi-Grained Slow versus Fast Framework for Few- | shot | Class-Incremental Learning |
MIANet: Aggregating Unbiased Instance and General Information for Few- | shot | Semantic Segmentation |
MICS: Midpoint Interpolation to Learn Compact and Separated Representations for Few- | shot | Class-Incremental Learning |
Minimization of the Spurious | shot | Boundaries Using Principal Components Decomposition and Progressive Nonlinear Filter |
Minimum variance unbiased subpixel centroid estimation of point image limited by photon | shot | noise |
Mining Latent Classes for Few- | shot | Segmentation |
MirrorDiffusion: Stabilizing Diffusion Process in Zero- | shot | Image Translation by Prompts Redescription and Beyond |
Mixer-Based Semantic Spread for Few- | shot | Learning |
Mixing Zero- | shot | Learning Up: Learning Unseen Classes from Mixed Features |
MixPath: A Unified Approach for One- | shot | Neural Architecture Search |
Mixture-based Feature Space Learning for Few- | shot | Image Classification |
ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero- | shot | Learning |
MM-net: Learning Adaptive Meta-metric for Few- | shot | Biometric Recognition |
MNGNAS: Distilling Adaptive Combination of Multiple Searched Networks for One- | shot | Neural Architecture Search |
MobileSAM-Track: Lightweight One- | shot | Tracking and Segmentation of Small Objects on Edge Devices |
Modality-Aware Representation Learning for Zero- | shot | Sketch-based Image Retrieval |
Modality-wise relational reasoning for one- | shot | sensor-based activity recognition |
Model Selection for Generalized Zero- | shot | Learning |
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few- | shot | Learning |
Model-Agnostic Metric for Zero- | shot | Learning |
Model-Based Reconstruction for T1 Mapping Using Single- | shot | Inversion-Recovery Radial FLASH |
Model-Based | shot | Boundary Detection Technique Using Frame Transition Parameters, A |
MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single- | shot | T2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition |
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero- | shot | Learning |
modified Single- | shot | multibox Detector for beyond Real-Time Object Detection, A |
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few- | shot | Action Recognition |
Momentum contrastive learning for few- | shot | COVID-19 diagnosis from chest CT images |
more you know, the less you learn: from knowledge transfer to one- | shot | learning of object categories, The |
MORGAN: Meta-Learning-based Few- | shot | Open-Set Recognition via Generative Adversarial Network |
Morphological tools for robust key region extraction and video | shot | modeling |
Mosaic of a video | shot | with multiple moving objects |
Motion activity-based extraction of key-frames from video | shot | s |
motion and illumination resilient framework for automatic | shot | boundary detection, A |
Motion blur detection in aerial images | shot | with channel-dependent exposure time |
Motion-modulated Temporal Fragment Alignment Network For Few- | shot | Action Recognition |
Movie Genre Classification by Language Augmentation and | shot | Sampling |
MPPCANet: A Feedforward Learning Strategy for Few- | shot | Image Classification |
MSDN: Mutually Semantic Distillation Network for Zero- | shot | Learning |
MSI: Maximize Support-Set Information for Few- | shot | Segmentation |
MTUNet: Few- | shot | Image Classification with Visual Explanations |
Multi-attention Network for One | shot | Learning |
Multi-ColorGAN: Few- | shot | vehicle recoloring via memory-augmented networks |
Multi-content GAN for Few- | shot | Font Style Transfer |
Multi-cue Zero- | shot | Learning with Strong Supervision |
Multi-Dimensional Edge Features Graph Neural Network on Few- | shot | Image Classification |
Multi-domain Document Layout Understanding Using Few- | shot | Object Detection |
Multi-Domain Few- | shot | Learning and Dataset for Agricultural Applications |
Multi-Domain Learning for Accurate and Few- | shot | Color Constancy |
Multi-expert Approach for | shot | Classification in News Videos, A |
Multi-faceted Distillation of Base-Novel Commonality for Few- | shot | Object Detection |
Multi-grained Temporal Prototype Learning for Few- | shot | Video Object Segmentation |
Multi-granularity episodic contrastive learning for few- | shot | learning |
Multi-granularity Recurrent Attention Graph Neural Network for Few- | shot | Learning |
Multi-label Zero- | shot | Learning with Structured Knowledge Graphs |
Multi-Label Zero- | shot | Learning With Transfer-Aware Label Embedding Projection |
Multi-Layer Pruning Framework for Compressing Single | shot | MultiBox Detector |
Multi-level Framework for Video | shot | Structuring, A |
Multi-Level Second-Order Few- | shot | Learning |
Multi-Level Semantic Feature Augmentation for One- | shot | Learning |
Multi-modal Cycle-Consistent Generalized Zero- | shot | Learning |
Multi-Modal Meta-Transfer Fusion Network for Few- | shot | 3D Model Classification |
Multi-Modal Multi-Grained Embedding Learning for Generalized Zero- | shot | Video Classification |
Multi-modal Sign Language Spotting by Multi/one- | shot | Learning |
Multi-Mode Modulator for Multi-Domain Few- | shot | Classification, A |
Multi-Oriented Enhancement Branch and Context-Aware Module for Few- | shot | Oriented Object Detection in Remote Sensing Images |
Multi-Prototype Few- | shot | Learning in Histopathology |
Multi-Scale Adaptive Task Attention Network for Few- | shot | Learning |
Multi-scale Comparison Network for Few- | shot | Learning |
Multi-scale Feature Fused Single | shot | Detector for Small Object Detection in UAV Images |
Multi-Scale Graph-Based Feature Fusion for Few- | shot | Remote Sensing Image Scene Classification |
Multi-Scale Metric Learning for Few- | shot | Learning |
Multi-scale Positive Sample Refinement for Few- | shot | Object Detection |
Multi-scale Relation Network for Few- | shot | Learning Based on Meta-learning |
Multi-Scale Similarity Guidance Few- | shot | Network for Ship Segmentation in SAR Images |
Multi-Scale Temporal Feature Fusion for Few- | shot | Action Recognition |
Multi-scale visual attention for attribute disambiguation in zero- | shot | learning |
Multi-semantic hypergraph neural network for effective few- | shot | learning |
Multi- | shot | Deblurring for 3D Scenes |
Multi- | shot | Human Re-Identification Using Adaptive Fisher Discriminant Analysis |
Multi- | shot | Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement |
Multi- | shot | Pedestrian Re-identification via Sequential Decision Making |
Multi- | shot | Person Re-Identification Using Part Appearance Mixture |
Multi- | shot | person re-identification via relational Stein divergence |
Multi- | shot | Person Re-identification with Automatic Ambiguity Inference and Removal |
Multi- | shot | Re-identification with Random-Projection-Based Random Forests |
Multi- | shot | SURF-based person re-identification via sparse representation |
Multi- | shot | Temporal Event Localization: a Benchmark |
Multi-similarity based hyperrelation network for few- | shot | segmentation |
Multi-Space Approach to Zero- | shot | Object Detection, A |
Multi-stage Approach for Anchor | shot | Detection, A |
Multi-step flow fusion: Towards accurate and dense correspondences in long video | shot | s |
Multi-task few- | shot | learning with composed data augmentation for image classification |
Multi-Task Transfer Methods to Improve One- | shot | Learning for Multimedia Event Detection |
Multi-Task Zero- | shot | Action Recognition with Prioritised Data Augmentation |
Multidimensional comparison of | shot | detection algorithms |
Multidimensional Prototype Refactor Enhanced Network for Few- | shot | Action Recognition |
Multimodal Benchmark and Improved Architecture for Zero | shot | Learning, A |
Multimodal Parameter-Efficient Few- | shot | Class Incremental Learning |
Multimodal Prototypical Networks for Few- | shot | Learning |
Multiple Heads are Better than One: Few- | shot | Font Generation with Multiple Localized Experts |
Multiple One- | shot | s for Utilizing Class Label Information |
Multiple- | shot | human re-identification by Mean Riemannian Covariance Grid |
Multiple- | shot | People Re-Identification by Patch-Wise Learning |
Multiple- | shot | person re-identification by chromatic and epitomic analyses |
Multiple- | shot | Person Re-identification by HPE Signature |
Multiple- | shot | Person Re-Identification by Pairwise Multiple Instance Learning |
Multiple- | shot | Person Re-identification via Riemannian Discriminative Learning |
Multiscale Attention-Based Prototypical Network For Few- | shot | Semantic Segmentation |
Mutual Balancing in State-Object Components for Compositional Zero- | shot | Learning |
Mutual CRF-GNN for Few- | shot | Learning |
Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few- | shot | Object Detection |
NeFF: Neural Feature Fields for Few- | shot | View Synthesis Addressing the Shape-Radiance Ambiguity |
Negative Margin Matters: Understanding Margin in Few- | shot | Classification |
Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few- | shot | Learning |
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single- | shot | Real Image Animation |
NETNet: Neighbor Erasing and Transferring Network for Better Single | shot | Object Detection |
New CBAM-P-Net Model for Few- | shot | Forest Species Classification Using Airborne Hyperspectral Images, A |
New Data Selection Strategy for One- | shot | Video-Based Person Re-Identification, A |
New Few- | shot | Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation, A |
New Local Transformation Module for Few- | shot | Segmentation, A |
New Perceived Motion Based | shot | Content Representation, A |
new pyramidal opponent color-shape model based video | shot | boundary detection, A |
News sports video | shot | classification with sports play field and motion features |
NIFF: Alleviating Forgetting in Generalized Few- | shot | Object Detection via Neural Instance Feature Forging |
No Adversaries to Zero- | shot | Learning: Distilling an Ensemble of Gaussian Feature Generators |
Non-generative Generalized Zero- | shot | Learning via Task-correlated Disentanglement and Controllable Samples Synthesis |
Not All Features Matter: Enhancing Few- | shot | CLIP with Adaptive Prior Refinement |
novel automatic | shot | boundary detection algorithm: robust to illumination and motion effect, A |
novel compressed domain | shot | segmentation algorithm on H.264/AVC, A |
Novel Deep Nearest Neighbor Neural Network for Few- | shot | Remote Sensing Image Scene Classification, A |
Novel Discriminative Enhancement Method for Few- | shot | Remote Sensing Image Scene Classification, A |
novel forget-update module for few- | shot | domain generalization, A |
novel metric for efficient video | shot | boundary detection, A |
Novel Perspective to Zero- | shot | Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion, A |
novel Structured Light method for one- | shot | dense reconstruction, A |
Object figure-ground segmentation using zero- | shot | learning |
Object Level Frame Comparison for Video | shot | Detection |
Object Level Grouping for Video | shot | s |
Object-Agnostic Vision Measurement Framework Based on One- | shot | Learning and Behavior Tree |
Object-Based | shot | Boundary Detection Using Edge Tracing and Tracking, An |
Omni-Training: Bridging Pre-Training and Meta-Training for Few- | shot | Learning |
On Implicit Attribute Localization for Generalized Zero- | shot | Learning |
On One- | shot | Similarity Kernels: Explicit Feature Maps and Properties |
On the Importance of Distractors for Few- | shot | Classification |
On the Influence of | shot | Scale on Film Mood and Narrative Engagement in Film Viewers |
On the Texture Bias for Few- | shot | CNN Segmentation |
On the Unsolved Problem of | shot | Boundary Detection for Music Videos |
On Zero- | shot | Recognition of Generic Objects |
On-Device Few- | shot | Personalization for Real-Time Gaze Estimation |
One | shot | Detection with Laplacian Object and Fast Matrix Cosine Similarity |
One | shot | emotion scores for facial emotion recognition |
One | shot | Face Swapping on Megapixels |
One | shot | Inverse Scattering via Rational Approximation |
One | shot | Learning |
One | shot | learning gesture recognition from RGBD images |
One | shot | Learning via Compositions of Meaningful Patches |
One | shot | Learning with class partitioning and cross validation voting (CP-CVV) |
One | shot | Model for COVID-19 Classification and Lesions Segmentation in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism |
One | shot | PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs |
One | shot | Radial Distortion Correction by Direct Linear Transformation |
One | shot | Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization |
One Sketch for All: One- | shot | Personalized Sketch Segmentation |
One- | shot | 3D-Gradient Method Applied to Face Recognition |
One- | shot | Action Localization by Learning Sequence Matching Network |
One- | shot | action recognition in challenging therapy scenarios |
One- | shot | Active 3-D Shape Acquisition |
One- | shot | Adaptation of GAN in Just One CLIP |
One- | shot | Adversarial Attacks on Visual Tracking With Dual Attention |
One- | shot | and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt |
One- | shot | Color Astronomical Imaging: In Less Time, For Less Money! |
One- | shot | Compositional Data Generation for Low Resource Handwritten Text Recognition |
One- | shot | Dense Network with Polarized Attention for Hyperspectral Image Classification |
One- | shot | Distributed Algorithm for PCA With RBF Kernels |
One- | shot | Doc Snippet Detection: Powering Search in Document Beyond Text |
One- | shot | Domain Adaptation for Face Generation |
One- | shot | DTW-Based Method for Early Gesture Recognition, A |
One- | shot | Entire Shape Acquisition Method Using Multiple Projectors and Cameras |
One- | shot | Entire Shape Scanning by Utilizing Multiple Projector-Camera Constraints of Grid Patterns |
One- | shot | Face Recognition via Generative Learning |
One- | shot | Face Recognition with Feature Rectification via Adversarial Learning |
One- | shot | field spotting on colored forms using subgraph isomorphism |
One- | shot | Free-View Neural Talking-Head Synthesis for Video Conferencing |
One- | shot | GAN: Learning to Generate Samples from Single Images and Videos |
One- | shot | Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures |
One- | shot | Generative Domain Adaptation |
One- | shot | Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction |
One- | shot | Gesture Recognition: One Step Towards Adaptive Learning |
One- | shot | HDR Imaging via Stereo PFA Cameras |
One- | shot | High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field |
One- | shot | Hyperspectral Imaging Using Faced Reflectors |
One- | shot | Image Recognition Using Prototypical Encoders with Reduced Hubness |
One- | shot | Image-to-Image Translation via Part-Global Learning With a Multi-Adversarial Framework |
One- | shot | Imitation Drone Filming of Human Motion Videos |
One- | shot | Implicit Animatable Avatars with Model-based Priors |
One- | shot | Integral Invariant Shape Priors for Variational Segmentation |
One- | shot | Layer-Wise Accuracy Approximation For Layer Pruning |
One- | shot | Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts, A |
One- | shot | learning based classification for segregation of plastic waste |
One- | shot | learning for acoustic identification of bird species in non-stationary environments |
One- | shot | Learning for Deformable Medical Image Registration and Periodic Motion Tracking |
One- | shot | Learning for Human Affordance Detection |
One- | shot | Learning for Real-Time Action Recognition |
One- | shot | learning hand gesture recognition based on modified 3d convolutional neural networks |
One- | shot | Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM |
One- | shot | Learning of Object Categories |
One- | shot | Learning of Object Categories Using Dependent Gaussian Processes |
One- | shot | Learning of Scene Locations via Feature Trajectory Transfer |
One- | shot | Learning of Sketch Categories with Co-regularized Sparse Coding |
One- | shot | learning of temporal sequences using a distance dependent Chinese Restaurant Process |
One- | shot | lip-based biometric authentication: Extending behavioral features with authentication phrase information |
One- | shot | Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement |
One- | shot | Metric Learning for Person Re-identification |
One- | shot | Model for Mixed-Precision Quantization |
One- | shot | multi-set non-rigid feature-spatial matching |
One- | shot | Multiple Object Tracking in UAV Videos Using Task-Specific Fine-Grained Features |
One- | shot | Neural Architecture Search via Self-Evaluated Template Network |
One- | shot | Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting |
One- | shot | Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking |
One- | shot | Object Affordance Detection in the Wild |
One- | shot | Object Detection in Heterogeneous Artwork Datasets |
One- | shot | Object Detection, Single Shot Detector, and Segmentation |
One- | shot | Object Detection, Single Shot Detector, and Segmentation |
One- | shot | Optimal Exposure Control |
One- | shot | range scanner using coplanarity constraints |
One- | shot | recognition of any material anywhere using contrastive learning with physics-based rendering |
One- | shot | Recognition Using Unsupervised Attribute-Learning |
One- | shot | Representational Learning for Joint Biometric and Device Authentication |
One- | shot | SADI-EPE: A Visual Framework of Event Progress Estimation |
One- | shot | scanning method using an uncalibrated projector and camera system |
One- | shot | Scanning Using a Color Stripe Pattern |
One- | shot | scanning using De Bruijn spaced grids |
One- | shot | segmentation of breast, pectoral muscle, and background in digitised mammograms |
One- | shot | similarity kernel, The |
One- | shot | skeleton-based action recognition on strength and conditioning exercises |
One- | shot | Summary Prototypical Network Toward Accurate Unpaved Road Semantic Segmentation |
One- | shot | Super-Resolution via Backward Style Transfer for Fast High-Resolution Style Transfer |
One- | shot | Synthesis of Images and Segmentation Masks |
One- | shot | Texture Retrieval Using Global Grouping Metric |
One- | shot | Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection, A |
One- | shot | Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU |
One- | shot | Unsupervised Cross-Domain Detection |
One- | shot | Unsupervised Cross-Domain Person Re-Identification |
One- | shot | Unsupervised Domain Adaptation with Personalized Diffusion Models |
One- | shot | Video Object Segmentation |
One- | shot | Weakly-Supervised Segmentation in 3D Medical Images |
One-Vote Veto: Semi-Supervised Learning for Low- | shot | Glaucoma Diagnosis |
OnePose: One- | shot | Object Pose Estimation without CAD Models |
Online incremental attribute-based zero- | shot | learning |
Online Learned Player Recognition Model Based Soccer Player Tracking and Labeling for Long- | shot | Scenes |
Online, simultaneous | shot | boundary detection and key frame extraction for sports videos using rank tracing |
OPANAS: One- | shot | Path Aggregation Network Architecture Search for Object Detection |
Open World Compositional Zero- | shot | Learning |
Open-Set Face Identification on Few- | shot | Gallery by Fine-Tuning |
Open-Set Likelihood Maximization for Few- | shot | Learning |
Open-Set Recognition and Few- | shot | Learning Dataset for Audio Event Classification in Domestic Environments, An |
Optimal Network Parameter Estimation: Single- | shot | Exchange of Local Decisions |
Optimal | shot | detection and recognition using Shiryaev-Roberts statistics |
Optimal spectral sensitivity functions for a single-camera one- | shot | multispectral imaging system |
Optimised De Bruijn patterns for one- | shot | shape acquisition |
Optimizing Few- | shot | Remote Sensing Scene Classification Based on an Improved Data Augmentation Approach |
Optimizing one- | shot | recognition with micro-set learning |
ORBIT: A Real-World Few- | shot | Dataset for Teachable Object Recognition |
Oropharynx Visual Detection by Using a Multi-Attention Single- | shot | Multibox Detector for Human-Robot Collaborative Oropharynx Sampling |
Ortho- | shot | : Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning |
Ortho- | shot | : Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning |
Os2d: One-stage One- | shot | Object Detection by Matching Anchor Features |
OSOP: A Multi-Stage One | shot | Object Pose Estimation Framework |
OSTeC: One- | shot | Texture Completion |
OTAvatar: One- | shot | Talking Face Avatar with Controllable Tri-Plane Rendering |
Out-Of-Distribution Detection for Generalized Zero- | shot | Action Recognition |
Overall positive prototype for few- | shot | open-set recognition |
Overcoming Multi-Model Forgetting in One- | shot | NAS With Diversity Maximization |
P3DC- | shot | : Prior-driven discrete data calibration for nearest-neighbor few-shot classification |
P3DC- | shot | : Prior-driven discrete data calibration for nearest-neighbor few-shot classification |
PaintInStyle: One- | shot | Discovery of Interpretable Directions by Painting |
Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few- | shot | Action Recognition-R2, A |
PaMM: Pose-Aware Multi- | shot | Matching for Improving Person Re-Identification |
PandaNet: Anchor-Based Single- | shot | Multi-Person 3D Pose Estimation |
PANet: Few- | shot | Image Semantic Segmentation With Prototype Alignment |
Parallel Attention Interaction Network for Few- | shot | Skeleton-Based Action Recognition |
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single- | shot | Object Detection |
Pareto Self-Supervised Training for Few- | shot | Learning |
PARN: Position-Aware Relation Networks for Few- | shot | Learning |
Part-aware Prototype Network for Few- | shot | Semantic Segmentation |
Part-aware Prototypical Graph Network for One- | shot | Skeleton-based Action Recognition |
Part-Object Progressive Refinement Network for Zero- | shot | Learning |
Part-Structured Inkball Models for One- | shot | Handwritten Word Spotting |
Partially Zero- | shot | Domain Adaptation from Incomplete Target Data with Missing Classes |
Partner-Assisted Learning for Few- | shot | Image Classification |
PartSLIP: Low- | shot | Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models |
PatchMix Augmentation to Identify Causal Features in Few- | shot | Learning |
PcGAN: A Noise Robust Conditional Generative Adversarial Network for One | shot | Learning |
PDA: Proxy-based domain adaptation for few- | shot | image recognition |
Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far | shot | First-Person Perspective Video |
Pentuplet Loss for Simultaneous | shot | s and Critical Points Detection in a Video |
Perceptual Comparison of Multi-exposure High Dynamic Range and Single- | shot | Camera RAW Photographs |
perceptual scheme for fully automatic video | shot | boundary detection, A |
Performance Characterization of Video- | shot | -Change Detection Methods |
Person Search by Text Attribute Query As Zero- | shot | Learning |
Person Spotting: Video | shot | Retrieval for Face Sets |
Personalized Face Authentication Based on Few- | shot | Meta-Learning |
PFEMed: Few- | shot | medical image classification using prior guided feature enhancement |
PFENet++: Boosting Few- | shot | Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask |
PGTNet: Prototype Guided Transfer Network for Few- | shot | Anomaly Localization |
Phase-error correction in digital holography using single- | shot | data |
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few- | shot | Model Adaption |
Photo | shot | -Type Disambiguation by Multi-Classifier Semi-Supervised Learning |
Pic2Word: Mapping Pictures to Words for Zero- | shot | Composed Image Retrieval |
PICA: Point-Wise Instance and Centroid Alignment Based Few- | shot | Domain Adaptive Object Detection with Loose Annotations |
Pixel Matching Network for Cross-Domain Few- | shot | Segmentation |
Pixel-by-Pixel Cross-Domain Alignment for Few- | shot | Semantic Segmentation |
Pixel-Level Meta-Learner for Weakly Supervised Few- | shot | Semantic Segmentation, A |
pLSA-based zero- | shot | learning |
Plug-and-Play Priors for Multi- | shot | Compressive Hyperspectral Imaging |
plug-in attribute correction module for generalized zero- | shot | learning, A |
PNPDet: Efficient Few- | shot | Detection without Forgetting via Plug-and-Play Sub-networks |
POEM: A prototype cross and emphasis network for few- | shot | semantic segmentation |
PolarMask++: Enhanced Polar Representation for Single- | shot | Instance Segmentation and Beyond |
PolarMask: Single | shot | Instance Segmentation With Polar Representation |
Pose2UV: Single- | shot | Multiperson Mesh Recovery With Deep UV Prior |
PoseMatcher: One- | shot | 6D Object Pose Estimation by Deep Feature Matching |
Power Normalizations in Fine-Grained Image, Few- | shot | Image and Graph Classification |
Power Normalizing Second-Order Similarity Network for Few- | shot | Learning |
Powering One- | shot | Topological NAS with Stabilized Share-parameter Proxy |
Practical One- | shot | Multispectral Imaging System Using a Single Image Sensor, A |
Predicting Deep Zero- | shot | Convolutional Neural Networks Using Textual Descriptions |
Predicting Movie Trailer Viewer's Like/Dislike via Learned | shot | Editing Patterns |
Predicting | shot | Locations in Tennis Using Spatiotemporal Data |
Predicting Visual Exemplars of Unseen Classes for Zero- | shot | Learning |
Prediction Calibration for Generalized Few- | shot | Semantic Segmentation |
Preface: A Data-driven Volumetric Prior for Few- | shot | Ultra High-resolution Face Synthesis |
Preserving Semantic Relations for Zero- | shot | Learning |
Preventing Zero- | shot | Transfer Degradation in Continual Learning of Vision-Language Models |
Primitive Generation and Semantic-Related Alignment for Universal Zero- | shot | Segmentation |
Principal characteristic networks for few- | shot | learning |
Prior Guided Feature Enrichment Network for Few- | shot | Segmentation |
Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero- | shot | Recognition |
Prior Semantic Harmonization Network for Few- | shot | Semantic Segmentation |
Probabilistic | shot | Boundary Detection Using Interframe Histogram Differences |
Process for detecting a change of | shot | in a succession of video images |
ProD: Prompting-to-disentangle Domain Knowledge for Cross-domain Few- | shot | Image Classification |
Progressive Automatic Design of Search Space for One- | shot | Neural Architecture Search |
Progressive Cross-Modal Semantic Network for Zero- | shot | Sketch-Based Image Retrieval |
Progressive Ensemble Networks for Zero- | shot | Recognition |
Progressive Placeholder Learning Network for Multimodal Zero- | shot | Learning, A |
Progressive Point To Set Metric Learning For Semi-Supervised Few- | shot | Classification |
Progressive sample mining and representation learning for one- | shot | person re-identification |
Progressive Semantic-Visual Mutual Adaption for Generalized Zero- | shot | Learning |
Prominent moving object segmentation from moving camera video | shot | s using iterative energy minimization |
Prompt Prototype Learning Based on Ranking Instruction For Few- | shot | Visual Tasks |
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few- | shot | Learners |
Prompt-Guided Zero- | shot | Anomaly Action Recognition using Pretrained Deep Skeleton Features |
PromptAD: Zero- | shot | Anomaly Detection using Text Prompts |
Proper Orthogonal Decomposition Approach for Parameters Reduction of Single | shot | Detector Networks, A |
Proposal-improved Few- | shot | Embedding Model with Contrastive Learning, A |
Propose-and-Attend Single | shot | Detector |
ProtoGAN: Towards Few | shot | Learning for Action Recognition |
Prototype Adaption and Projection for Few- and Zero- | shot | 3D Point Cloud Semantic Segmentation |
Prototype adjustment for zero | shot | classification |
Prototype Calibration with Feature Generation for Few- | shot | Remote Sensing Image Scene Classification |
Prototype Completion for Few- | shot | Learning |
Prototype Completion with Primitive Knowledge for Few- | shot | Learning |
Prototype Mixture Models for Few- | shot | Semantic Segmentation |
Prototype Queue Learning for Multi-Class Few- | shot | Semantic Segmentation |
Prototype Rectification for Few- | shot | Learning |
Prototype-Augmented Self-Supervised Generative Network for Generalized Zero- | shot | Learning |
Prototype-Based Generalized Zero- | shot | Learning Framework for Hand Gesture Recognition, A |
Prototypical Cross-domain Self-supervised Learning for Few- | shot | Unsupervised Domain Adaptation |
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few- | shot | Semantic Segmentation |
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero | shot | Learning |
Prototypical Matching and Open Set Rejection for Zero- | shot | Semantic Segmentation |
Prototypical Priors: From Improving Classification to Zero- | shot | Learning |
Pseudo distribution on unseen classes for generalized zero | shot | learning |
Pseudo-label Diversity Exploitation for Few- | shot | Object Detection |
Pseudo-label estimation via unsupervised Identity Link Prediction for one- | shot | person Re-Identification |
Pseudo-loss Confidence Metric for Semi-supervised Few- | shot | Learning |
PupilTAN: A Few- | shot | Adversarial Pupil Localizer |
Pushing the Limits of Simple Pipelines for Few- | shot | Learning: External Data and Fine-Tuning Make a Difference |
Putting NeRF on a Diet: Semantically Consistent Few- | shot | View Synthesis |
Pyramid Graph Networks With Connection Attentions for Region-Based One- | shot | Semantic Segmentation |
PyramidBox: A Context-Assisted Single | shot | Face Detector |
PØDA: Prompt-driven Zero- | shot | Domain Adaptation |
Quadruplet Network With One- | shot | Learning for Fast Visual Object Tracking |
Quaternion-Valued Correlation Learning for Few- | shot | Semantic Segmentation |
Query Adaptive Few- | shot | Object Detection with Heterogeneous Graph Convolutional Networks |
Query by Virtual Example: Video Retrieval Using Example | shot | s Created by Virtual Reality Techniques |
Query-centric distance modulator for few- | shot | classification |
Query-guided networks for few- | shot | fine-grained classification and person search |
Query-Guided Prototype Evolution Network for Few- | shot | Segmentation |
Query-Specific Embedding Co-Adaptation Improve Few- | shot | Image Classification |
Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero- | shot | Learning |
Radical aggregation network for few- | shot | offline handwritten Chinese character recognition |
Railway Automatic Switch Stationary Contacts Wear Detection Under Few- | shot | Occasions |
Ranking Distance Calibration for Cross-Domain Few- | shot | Learning |
RD-GAN: Few/zero- | shot | Chinese Character Style Transfer via Radical Decomposition and Rendering |
Re-abstraction and perturbing support pair network for few- | shot | fine-grained image classification |
Re-scoring using image-language similarity for few- | shot | object detection |
Read-only Prompt Optimization for Vision-Language Few- | shot | Learning |
Real Time GAZED: Online | shot | Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings |
Real-time Multi-Class Helmet Violation Detection Using Few- | shot | Data Sampling Technique and YOLOv8 |
Real-Time Multi-Task Single | shot | Face Detector, A |
Real-Time Seamless Single | shot | 6D Object Pose Prediction |
Real-Time | shot | Change Detection Over Online MPEG-2 Video |
Real-Time Video- | shot | Detection for Scene Surveillance Applications |
Realistic One- | shot | Mesh-Based Head Avatars |
Rebalanced Zero- | shot | Learning |
Recent Advances in Zero- | shot | Recognition: Toward Data-Efficient Understanding of Visual Content |
Recognizing Bengali Word Images - A Zero- | shot | Learning Perspective |
Reconstruction Guided Meta-Learning for Few | shot | Open Set Recognition |
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero- | shot | Learning |
Recurrent Mask Refinement for Few- | shot | Medical Image Segmentation |
Redefining prior feature space via finetuning a triplet network for few- | shot | learning |
Reducing False Positives in Video | shot | Detection Using Learning Techniques |
RefineDet++: Single- | shot | Refinement Neural Network for Object Detection |
ReGen: A good Generative zero- | shot | video classifier should be Rewarded |
Region Graph Embedding Network for Zero- | shot | Learning |
Registration and entire shape acquisition for grid based active one- | shot | scanning techniques |
Registration Based Few- | shot | Anomaly Detection |
Registration of Moving Surfaces by Means of One- | shot | Laser Projection |
Registration of surfaces minimizing error propagation for a one- | shot | multi-slit hand-held scanner |
Registration-free Face-SSD: Single | shot | analysis of smiles, facial attributes, and affect in the wild |
Regularized Adversarial Training for Single- | shot | Virtual Try-On |
Reinforced Attention for Few- | shot | Learning and Beyond |
Reinforced Self-Supervised Training for Few- | shot | Learning |
Reinforcing Generated Images via Meta-Learning for One- | shot | Fine-Grained Visual Recognition |
Relation fusion propagation network for transductive few- | shot | learning |
Relation Networks for Few- | shot | Video Object Detection |
Relation-Aware Compositional Zero- | shot | Learning for Attribute-Object Pair Recognition |
Relational Embedding for Few- | shot | Classification |
Relative Position and Map Networks in Few- | shot | Learning for Image Classification |
Reliable | shot | Identification for Complex Event Detection Via Visual-Semantic Embedding |
ReMP: Rectified Metric Propagation for Few- | shot | Learning |
RepMet: Representative-Based Metric Learning for Classification and Few- | shot | Object Detection |
Representing and Retrieving Video | shot | s in Human-Centric Brain Imaging Space |
Repurposing GANs for One- | shot | Semantic Part Segmentation |
Residual Pyramid Learning for Single- | shot | Semantic Segmentation |
Resolving Zero- | shot | and Fact-Based Visual Question Answering via Enhanced Fact Retrieval |
Respho(sc)net: A Zero- | shot | Learning Framework for Norwegian Handwritten Word Image Recognition |
Results of Researches On Photogrammetric Calibration of The Sony Cyber- | shot | DSC-RX1RM2 Camera |
Retain and Recover: Delving Into Information Loss for Few- | shot | Segmentation |
Rethinking and Improving Few- | shot | Segmentation From a Contour-Aware Perspective |
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few- | shot | Learning |
Rethinking Few- | shot | Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry |
Rethinking Few- | shot | Image Classification: A Good Embedding is All You Need? |
Rethinking Few- | shot | Medical Segmentation: A Vector Quantization View |
Rethinking Few- | shot | Object Detection on a Multi-Domain Benchmark |
Rethinking Knowledge Graph Propagation for Zero- | shot | Learning |
Rethinking the Correlation in Few- | shot | Segmentation: A Buoys View |
Rethinking Zero- | shot | Action Recognition: Learning from Latent Atomic Actions |
Rethinking Zero- | shot | Learning: A Conditional Visual Classification Perspective |
Rethinking Zero- | shot | Video Classification: End-to-End Training for Realistic Applications |
RetinaFace: Single- | shot | Multi-Level Face Localisation in the Wild |
Retrieving video | shot | s in semantic brain imaging space using manifold-ranking |
Retrieving-to-Answer: Zero- | shot | Video Question Answering with Frozen Large Language Models |
Review of Generalized Zero- | shot | Learning Methods, A |
Revisiting Learnable Affines for Batch Norm in Few- | shot | Transfer Learning |
Revisiting Local Descriptor Based Image-To-Class Measure for Few- | shot | Learning |
Revisiting Pose-Normalization for Fine-Grained Few- | shot | Recognition |
Revisiting Prototypical Network for Cross Domain Few- | shot | Learning |
Revisiting Unsupervised Meta-Learning via the Characteristics of Few- | shot | Tasks |
RGTransformer: Region-Graph Transformer for Image Representation and Few- | shot | Classification |
Rise of the Lottery Heroes: Why Zero- | shot | Pruning is Hard, The |
RNNP: A Robust Few- | shot | Learning Approach |
Robotic Object Perception Based on Multispectral Few- | shot | Coupled Learning |
Robust and Accurate One- | shot | 3D Reconstruction by 2C1P System with Wave Grid Pattern |
Robust deep alignment network with remote sensing knowledge graph for zero- | shot | and generalized zero-shot remote sensing image scene classification |
Robust deep alignment network with remote sensing knowledge graph for zero- | shot | and generalized zero-shot remote sensing image scene classification |
Robust fine-tuning of zero- | shot | models |
Robust Framework for One- | shot | Key Information Extraction via Deep Partial Graph Matching, A |
Robust identification of gradual | shot | -transition types |
Robust One | shot | Audio to Video Generation |
Robust one- | shot | 3D scanning using loopy belief propagation |
Robust One- | shot | Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2 |
Robust Prototypical Few- | shot | Organ Segmentation With Regularized Neural-ODEs |
Robust Region Feature Synthesizer for Zero- | shot | Object Detection |
Robust Saliency-Aware Distillation for Few- | shot | Fine-Grained Visual Recognition |
robust | shot | transition detection method based on support vector machine in compressed domain, A |
Robust Single- | shot | Fringe Projection Profilometry Based on Morphological Component Analysis |
Robust Single- | shot | T2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network |
Robust Temporally-Coherent Strategy for Few- | shot | Video Instance Segmentation |
ROSS: Robust Learning of One- | shot | 3D Shape Segmentation |
RPMG-FSS: Robust Prior Mask Guided Few- | shot | Semantic Segmentation |
RS-MetaNet: Deep Metametric Learning for Few- | shot | Remote Sensing Scene Classification |
RSNet: Relation Separation Network for Few- | shot | Similar Class Recognition |
Rule-based real-time detection of context-independent events in video | shot | s |
RZSR: Reference-Based Zero- | shot | Super-Resolution With Depth Guided Self-Exemplars |
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single- | shot | Segmentation |
S3C: Self-Supervised Stochastic Classifiers for Few- | shot | Class-Incremental Learning |
SaberNet: Self-attention based effective relation network for few- | shot | learning |
SAFFNet: Self-Attention-Based Feature Fusion Network for Remote Sensing Few- | shot | Scene Classification |
Saliency-Guided Single | shot | Multibox Detector for Target Detection in SAR Images |
Salient object detection in tracking | shot | s |
Sample-Centric Feature Generation for Semi-Supervised Few- | shot | Learning |
SAPENet: Self-Attention based Prototype Enhancement Network for Few- | shot | Learning |
SATR: Zero- | shot | Semantic Segmentation of 3D Shapes |
SC-CNN: Effective Speaker Conditioning Method for Zero- | shot | Multi-Speaker Text-to-Speech Systems |
Scalable near identical image and | shot | detection |
Scalable Zero- | shot | Learning via Binary Visual-Semantic Embeddings |
Scale Information Enhancement for Few- | shot | Object Detection on Remote Sensing Images |
Scale specified single | shot | multibox detector |
Scale-Aware Graph Neural Network for Few- | shot | Semantic Segmentation |
Scale-awareness for More Accurate Object Detection Using Modified Single | shot | Detectors |
Scaling digital screen reading with one- | shot | learning and re-identification |
Scaling Human-Object Interaction Recognition Through Zero- | shot | Learning |
Scene Detection in Videos Using | shot | Clustering and Sequence Alignment |
Scene-Based | shot | Change Detection and Comparative Evaluation |
SCFormer: Spectral Coordinate Transformer for Cross-Domain Few- | shot | Hyperspectral Image Classification |
Scheduled sampling for one- | shot | learning via matching network |
ScratchDet: Training Single- | shot | Object Detectors From Scratch |
SCTrans: Self-align and cross-align transformer for few- | shot | segmentation |
SDALF+C: Augmenting the SDALF Descriptor by Relation-Based Information for Multi- | shot | Re-identification |
Searching by Generating: Flexible and Efficient One- | shot | NAS with Architecture Generator |
See More and Know More: Zero- | shot | Point Cloud Segmentation via Multi-modal Visual Data |
SEGA: Semantic Guided Attention on Visual Prototype for Few- | shot | Learning |
SEIC: Semantic Embedding with Intermediate Classes for Zero- | shot | Domain Generalization |
Selecting Relevant Features from a Multi-domain Representation for Few- | shot | Classification |
Selective Zero- | shot | Classification with Augmented Attributes |
SelectNAdapt: Support Set Selection for Few- | shot | Domain Adaptation |
Self-Attention Message Passing for Contrastive Few- | shot | Learning |
Self-Calibrated Cross Attention Network for Few- | shot | Segmentation |
Self-Challenging Mask for Cross-Domain Few- | shot | Classification |
Self-Compensating Learning for Few- | shot | Segmentation |
Self-Distillation for Few- | shot | Image Captioning |
Self-Guided and Cross-Guided Learning for Few- | shot | Segmentation |
Self-guided information for few- | shot | classification |
Self-information of radicals: A new clue for zero- | shot | Chinese character recognition |
Self-Learning for Few- | shot | Remote Sensing Image Captioning |
Self-Paced Adversarial Training for Multimodal Few- | shot | Learning |
Self-Paced Hard Task-Example Mining for Few- | shot | Classification |
Self-Promoted Prototype Refinement for Few- | shot | Class-Incremental Learning |
Self-Promoted Supervision for Few- | shot | Transformer |
Self-regularized prototypical network for few- | shot | semantic segmentation |
Self-Reinforcing For Few- | shot | Medical Image Segmentation |
Self-Sampling Meta SAM: Enhancing Few- | shot | Medical Image Segmentation with Meta-Learning |
Self-Supervised Class-Cognizant Few- | shot | Classification |
Self-Supervised Deep Learning Framework for Unsupervised Few- | shot | Learning and Clustering, A |
Self-Supervised Domain-Aware Generative Network for Generalized Zero- | shot | Learning |
Self-supervised GAN for Unsupervised Few- | shot | Object Recognition, A |
Self-Supervised Generalized Zero | shot | Learning for Medical Image Classification Using Novel Interpretable Saliency Maps |
Self-Supervised Generative Style Transfer for One- | shot | Medical Image Segmentation |
Self-Supervised Learning for Few- | shot | Medical Image Segmentation |
Self-supervised Learning of Orc-Bert Augmentor for Recognizing Few- | shot | Oracle Characters |
Self-supervised Prototype Conditional Few- | shot | Object Detection |
Self-Supervised Remote Sensing Image Dehazing Network Based on Zero- | shot | Learning |
Self-supervision and meta-learning for one- | shot | unsupervised cross-domain detection |
Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few- | shot | Remote Sensing Scene Classification |
Self-Supervision Can Be a Good Few- | shot | Learner |
Self-supervision with Superpixels: Training Few- | shot | Medical Image Segmentation Without Annotation |
Self-support Few- | shot | Semantic Segmentation |
Semantic Autoencoder for Zero- | shot | Learning |
Semantic combined network for zero- | shot | scene parsing |
Semantic Consistent Embedding for Domain Adaptive Zero- | shot | Learning |
Semantic Contrastive Embedding for Generalized Zero- | shot | Learning |
Semantic Diversity Learning for Zero- | shot | Multi-label Classification |
Semantic embedding space for zero- | shot | action recognition |
Semantic Encoding Out-of-Distribution Classifier for Generalized Zero- | shot | Learning, A |
Semantic Generative Augmentations for Few- | shot | Counting |
Semantic guided knowledge graph for large-scale zero- | shot | learning |
Semantic Guided Latent Parts Embedding for Few- | shot | Learning |
Semantic Prompt for Few- | shot | Image Recognition |
Semantic Relation Reasoning for | shot | -Stable Few-Shot Object Detection |
Semantic Relation Reasoning for | shot | -Stable Few-Shot Object Detection |
Semantic-Aligned Attention With Refining Feature Embedding for Few- | shot | Image Classification |
Semantic-aligned Fusion Transformer for One- | shot | Object Detection |
Semantic-aligned reinforced attention model for zero- | shot | learning |
Semantic-aware Knowledge Distillation for Few- | shot | Class-Incremental Learning |
Semantic-Aware Knowledge Preservation for Zero- | shot | Sketch-Based Image Retrieval |
Semantic-aware Video Representation for Few- | shot | Action Recognition |
Semantic-aware visual attributes learning for zero- | shot | recognition |
Semantic-Guided Class-Imbalance Learning Model for Zero- | shot | Image Classification |
Semantic-Guided Zero- | shot | Learning for Low-Light Image/Video Enhancement |
Semantic-Promoted Debiasing and Background Disambiguation for Zero- | shot | Instance Segmentation |
Semantical Analytical Approach for Zero | shot | Gesture Learning, A |
Semantically Aligned Bias Reducing Zero | shot | Learning |
Semantically Consistent Regularization for Zero- | shot | Recognition |
Semantically Grounded Visual Embeddings for Zero- | shot | Learning |
Semantically Meaningful Class Prototype Learning for One- | shot | Image Segmentation |
Semantically Tied Paired Cycle Consistency for Any- | shot | Sketch-Based Image Retrieval |
Semantically Tied Paired Cycle Consistency for Zero- | shot | Sketch-Based Image Retrieval |
Semantics Disentangling for Generalized Zero- | shot | Learning |
Semantics Guided Contrastive Learning of Transformers for Zero- | shot | Temporal Activity Detection |
Semantics to Space(S2S): Embedding semantics into spatial space for zero- | shot | verb-object query inferencing |
Semantics-Guided Contrastive Network for Zero- | shot | Object Detection |
Semantics-Guided Data Hallucination for Few- | shot | Visual Classification |
Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero- | shot | Learning |
Semantics-Preserving Graph Propagation for Zero- | shot | Object Detection |
Semi Few- | shot | Attribute Translation |
Semi-Supervised Contrastive Learning for Few- | shot | Segmentation of Remote Sensing Images |
Semi-Supervised Few- | shot | Class-Incremental Learning |
Semi-Supervised Few- | shot | Learning from A Dependency-Discriminant Perspective |
Semi-Supervised Few- | shot | Learning via Multi-Factor Clustering |
Semi-Supervised Few- | shot | Object Detection via Adaptive Pseudo Labeling |
Semi-Supervised Few- | shot | Segmentation with Noisy Support Images |
Semi-Supervised Learning for Few- | shot | Image-to-Image Translation |
Semi-Supervised Low-Rank Semantics Grouping for Zero- | shot | Learning |
Semi-Supervised Zero- | shot | Classification with Label Representation Learning |
Sen: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few- | shot | Learning Networks |
Sensor-Independent Hyperspectral Target Detection With Semisupervised Domain Adaptive Few- | shot | Learning |
Separating Texture and Illumination for Single- | shot | Structured Light Reconstruction |
SG-One: Similarity Guidance Network for One- | shot | Semantic Segmentation |
SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few- | shot | Image Classification |
Shallow Bayesian Meta Learning for Real-World Few- | shot | Recognition |
Shaping Visual Representations With Attributes for Few- | shot | Recognition |
Shared Multi-Attention Framework for Multi-Label Zero- | shot | Learning, A |
ShiftNAS: Improving One- | shot | NAS via Probability Shift |
| shot | and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video |
| shot | Boundary Detection for Automatic Video Analysis of Historical Films |
| shot | Boundary Detection in MPEG Videos Using Local and Global Indicators |
| shot | boundary detection in the presence of fire flicker and explosion using stationary wavelet transform |
| shot | boundary detection in the presence of illumination and motion |
| shot | boundary detection in videos using robust three-dimensional tracking |
| shot | Boundary Detection Method for News Video Based on Rough Sets and Fuzzy Clustering, A |
| shot | Boundary Detection Through Multi-stage Deep Convolution Neural Network |
| shot | boundary detection using co-occurrence of global motion in video stream |
| shot | boundary detection using convolutional neural networks |
| shot | Boundary Detection Using Frame Transition Parameters and Edge Strength Scatter |
| shot | boundary detection using perceptual and semantic information |
| shot | boundary detection via adaptive low rank and svd-updating |
| shot | Boundary Detection with Graph Theory Using Keypoint Features and Color Histograms |
| shot | Boundary Detection with Mutual Information |
| shot | Change Detection Using Scene-Based Constraint |
| shot | Change Detection via Local Keypoint Matching |
| shot | classification for action movies based on motion characteristics |
| shot | Classification in broadcast Soccer Video |
| shot | Contrastive Self-Supervised Learning for Scene Boundary Detection |
| shot | Detection and Motion Analysis for Automatic MPEG-7 Annotation of Sports Videos |
| shot | detection in video sequences using entropy-based metrics |
| shot | genre classification using compressed audio-visual features |
| shot | in the Dark: Few-Shot Learning with No Base-Class Labels |
| shot | in the Dark: Few-Shot Learning with No Base-Class Labels |
| shot | Level Egocentric Video Co-summarization |
| shot | Noise Analysis for Differential Sampling in Indirect Time of Flight Cameras |
| shot | reconstruction degree: a novel criterion for key frame selection |
| shot | Scale Analysis in Movies by Convolutional Neural Networks |
| shot | -Based Hybrid Fusion for Movie Genre Classification |
| shot | -based similarity measure for content-based video summarization |
| shot | -based video retrieval with optical flow tensor and HMMs |
| shot | -boundary detection: unraveled and resolved? |
| shot | : Unique signatures of histograms for surface and texture description |
Siamese Contrastive Embedding Network for Compositional Zero- | shot | Learning |
SiameseCCR: a novel method for one- | shot | and few-shot Chinese CAPTCHA recognition using deep Siamese network |
SiameseCCR: a novel method for one- | shot | and few-shot Chinese CAPTCHA recognition using deep Siamese network |
SideNet: Learning representations from interactive side information for zero- | shot | Chinese character recognition |
sigma-Adaptive Decoupled Prototype for Few- | shot | Object Detection |
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero- | shot | Semantic Segmentation |
Similar Class Style Augmentation for Efficient Cross-Domain Few- | shot | Learning |
Similarity Distillation Guided Feature Refinement Network for Few- | shot | Semantic Segmentation, A |
Similarity Learning based Few | shot | Learning for ECG Time Series Classification |
Similarity Min-Max: Zero- | shot | Day-Night Domain Adaptation |
Simple Discriminative Dual Semantic Auto-encoder for Zero- | shot | Classification, A |
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero- | shot | Learning |
Simple yet Effective Model for Zero- | shot | Learning, A |
Simpler is Better: Few- | shot | Semantic Segmentation with Classifier Weight Transformer |
SimpleZSL: Extremely Simple and Fast Zero- | shot | Learning with Nearest Neighbor Classifiers |
Simplified Framework for Zero- | shot | Cross-Modal Sketch Data Retrieval, A |
SimpliMix: A Simplified Manifold Mixup for Few- | shot | Point Cloud Classification |
Single Color One- | shot | Scan Using Topology Information |
Single colour one- | shot | scan using modified penrose tiling pattern |
Single Image Dehazing Via Artificial Multiple | shot | s And Multidimensional Context |
Single Image Dehazing Via Region Adaptive Two- | shot | Network |
Single Path One- | shot | Neural Architecture Search with Uniform Sampling |
Single | shot | active learning using pseudo annotators |
Single | shot | Feature Aggregation Network for Underwater Object Detection |
Single | shot | Framework with Multi-Scale Feature Fusion for Geospatial Object Detection, A |
Single | shot | high dynamic range imaging using piecewise linear estimators |
single | shot | multibox detector based on welding operation method for biometrics recognition in smart cities, A |
Single | shot | object detection with top-down refinement |
Single | shot | Scene Text Retrieval |
Single | shot | Text Detector with Regional Attention |
Single | shot | Video Object Detector |
Single Source One | shot | Reenactment using Weighted Motion from Paired Feature Points |
Single- | shot | 3D multi-person pose estimation in complex images |
Single- | shot | Analysis of Refractive Shape Using Convolutional Neural Networks |
Single- | shot | cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas |
Single- | shot | Dense 3D Reconstruction Using Self-Equalizing De Bruijn Sequence |
Single- | shot | dense active stereo with pixel-wise phase estimation based on grid-structure using CNN and correspondence estimation using GCN |
Single- | shot | dense depth sensing with frequency-division multiplexing fringe projection |
Single- | shot | Dense Reconstruction with Epic-Flow |
Single- | shot | depth-camera design |
Single- | shot | Detector with Multiple Inference Paths |
Single- | shot | End-to-end Road Graph Extraction |
Single- | shot | fourier transform multispectroscopy |
Single- | shot | Freestyle Dance Reenactment |
Single- | shot | high dynamic range imaging with conventional camera hardware |
Single- | shot | Hyperspectral-Depth Imaging with Learned Diffractive Optics |
Single- | shot | interferogram analysis for accurate reconstruction of step phase objects |
Single- | shot | Monocular RGB-D Imaging Using Uneven Double Refraction |
Single- | shot | MR imaging using trapezoidal-gradient-based Lissajous trajectories |
Single- | shot | Multi-Path Interference Resolution for Mirror-Based Full 3D Shape Measurement with a Correlation-Based ToF Camera, A |
Single- | shot | Multi-person 3D Pose Estimation from Monocular RGB |
Single- | shot | Neural Relighting and SVBRDF Estimation |
Single- | shot | Object Detection with Enriched Semantics |
Single- | shot | Object Detector with Feature Aggregation and Enhancement, A |
Single- | shot | Path Integrated Panoptic Segmentation |
Single- | shot | photometric stereo by spectral multiplexing |
Single- | shot | Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning |
Single- | shot | Refinement Neural Network for Object Detection |
Single- | shot | Reflectance Measurement from Polarized Color Gradient Illumination |
Single- | shot | Scale-Aware Network for Real-Time Face Detection |
Single- | shot | Specular Surface Reconstruction with Gonio-Plenoptic Imaging |
single- | shot | structured light means by encoding both color and geometrical features, A |
Single- | shot | Time-of-Flight Phase Unwrapping Using Two Modulation Frequencies |
Single- | shot | underwater image restoration: A visual quality-aware method based on light propagation model |
Skeleton-DML: Deep Metric Learning for Skeleton-Based One- | shot | Action Recognition |
Sketch3T: Test-Time Training for Zero- | shot | SBIR |
Skip Residual Pairwise Networks With Learnable Comparative Functions for Few- | shot | Learning |
SL-DML: Signal Level Deep Metric Learning for Multimodal One- | shot | Action Recognition |
SMAE: Few- | shot | Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders |
Small Object Detection in Unmanned Aerial Vehicle Images Using Feature Fusion and Scaling-Based Single | shot | Detector With Spatial Context Analysis |
SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few- | shot | Action Recognition |
Smap: Single- | shot | Multi-person Absolute 3d Pose Estimation |
SML: Semantic meta-learning for few- | shot | semantic segmentation? |
Smoothness Similarity Regularization for Few- | shot | GAN Adaptation |
SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero- | shot | Multi-Speaker Text-to-Speech |
Soft Weight Pruning for Cross-Domain Few- | shot | Learning With Unlabeled Target Data |
Sonar Image Target Detection Based on Style Transfer Learning and Random Shape of Noise under Zero | shot | Target |
spacetime model for one- | shot | active contour extraction scheme for human detection in image sequences, A |
Sparse- | shot | Learning with Exclusive Cross-Entropy for Extremely Many Localisations |
SparseNeRF: Distilling Depth Ranking for Few- | shot | Novel View Synthesis |
Spatial reasoning for few- | shot | object detection |
Spatial-Aware Object Embeddings for Zero- | shot | Localization and Classification of Actions |
Spatial-Temporal Adaptive Metric Learning Network for One- | shot | Skeleton-Based Action Recognition |
Spatio-temporal feature-based keyframe detection from video | shot | s using spectral clustering |
Spatio-temporal Relation Modeling for Few- | shot | Action Recognition |
Spatiotemporal modeling and matching of video | shot | s |
Speaker Identification and Video Analysis for Hierarchical Video | shot | Classification |
Spectral-Spatial Domain Attention Network for Hyperspectral Image Few- | shot | Classification |
Spectral-Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few- | shot | Hyperspectral Image Classification |
Specular Flow and Shape in One | shot | : |
Spherical Zero- | shot | Learning |
Spot and Learn: A Maximum-Entropy Patch Sampler for Few- | shot | Image Classification |
SSAP: Single- | shot | Instance Segmentation With Affinity Pyramid |
SSAP: Single- | shot | Instance Segmentation With Affinity Pyramid |
SSD: Single | shot | MultiBox Detector |
SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few- | shot | Class Incremental Learning |
SSL-DC: Improving Transduxctive Few- | shot | Learning via Self-Supervised Learning and Distribution Calibration |
ST-PN: A Spatial Transformed Prototypical Network for Few- | shot | SAR Image Classification |
Stacked Adversarial Network for Zero- | shot | Sketch based Image Retrieval |
StairNet: Top-Down Semantic Aggregation for Accurate One | shot | Detection |
STAR: A Content Based Video Retrieval system for moving camera video | shot | s |
Statistical Framework for | shot | Segmentation and Classification in Sports Video |
Stereoscopic video | shot | clustering into semantic concepts based on visual and disparity information |
Strong Baseline for Generalized Few- | shot | Semantic Segmentation, A |
Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few- | shot | Remote Sensing Scene Classification |
Structured Set Matching Networks for One- | shot | Part Labeling |
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few- | shot | Learning |
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One- | shot | and Few-shot Domain Adaptation |
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One- | shot | and Few-shot Domain Adaptation |
StyleGuide: Zero- | shot | Sketch-Based Image Retrieval Using Style-Guided Image Generation |
StyleHEAT: One- | shot | High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN |
StyleRF: Zero- | shot | 3D Style Transfer of Neural Radiance Fields |
Super-Resolving Cross-Domain Face Miniatures by Peeking at One- | shot | Exemplar |
Superclass-aware network for few- | shot | learning |
Supervised Masked Knowledge Distillation for Few- | shot | Transformers |
Support-Query Mutual Promotion and Classification Correction Network for Few- | shot | Object Detection |
Suppressing | shot | Noise Using Quadratic Variable Step-Size Quantization for the Initial Acquisition of Camera-Raw Image Data |
Survey of Deep Learning for Low- | shot | Object Detection, A |
Survey of Self-Supervised and Few- | shot | Object Detection, A |
Survey on Few- | shot | Techniques in the Context of Computer Vision Applications Based on Deep Learning, A |
Sylph: A Hypernetwork Framework for Incremental Few- | shot | Object Detection |
Syntactically Guided Generative Embeddings for Zero- | shot | Skeleton Action Recognition |
Synthesized Classifiers for Zero- | shot | Learning |
Synthesized Feature based Few- | shot | Class-Incremental Learning on a Mixture of Subspaces |
Synthesizing Knowledge-Enhanced Features for Real-World Zero- | shot | Food Detection |
Synthesizing the Unseen for Zero- | shot | Object Detection |
Synthetic Sample Selection for Generalized Zero- | shot | Learning |
System and method for automatically detecting | shot | boundary and key frame from a compressed video data |
System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player | shot | Videos, A |
System for Capturing Textured 3D Shapes Based on One- | shot | Grid Pattern with Multi-band Camera and Infrared Projector, A |
S^3FD: Single | shot | Scale-Invariant Face Detector |
TAAN: Task-Aware Attention Network for Few- | shot | Classification |
TAE-Net: Task-Adaptive Embedding Network for Few- | shot | Remote Sensing Scene Classification |
TAEN: Temporal Aware Embedding Network for Few- | shot | Action Recognition |
TAFE-Net: Task-Aware Feature Embeddings for Low | shot | Learning |
Tafssl: Task-adaptive Feature Sub-space Learning for Few- | shot | Classification |
Target-driven One- | shot | Unsupervised Domain Adaptation |
Task Agnostic Meta-Learning for Few- | shot | Learning |
Task Discrepancy Maximization for Fine-grained Few- | shot | Classification |
Task Encoding With Distribution Calibration for Few- | shot | Learning |
Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few- | shot | Remote Sensing Scene Classification |
Task-Adaptive Feature Disentanglement and Hallucination for Few- | shot | Classification |
Task-Adaptive Feature Reweighting for Few | shot | Classification |
Task-adaptive Few- | shot | Learning on Sphere Manifold |
Task-Adaptive Negative Envision for Few- | shot | Open-Set Recognition |
Task-Agnostic Open-Set Prototype for Few- | shot | Open-Set Recognition |
Task-Aware Adaptive Learning for Cross-domain Few- | shot | Learning |
Task-Aware Dual-Representation Network for Few- | shot | Action Recognition |
Task-Aware Few- | shot | Visual Classification with Improved Self-Supervised Metric Learning |
Task-aware Part Mining Network for Few- | shot | Learning |
Task-Driven Modular Networks for Zero- | shot | Compositional Learning |
Task-Oriented Feature Hallucination for Few- | shot | Image Classification |
Task-specific contrastive learning for few- | shot | remote sensing image scene classification |
Taxonomy of Directing Semantics for Film | shot | Classification |
TDFSSD: Top-Down Feature Fusion Single | shot | MultiBox Detector |
Temperature network for few- | shot | learning with distribution-aware large-margin metric |
template matching approach of one- | shot | -learning gesture recognition, A |
Template-based detection of anchorperson | shot | s in news programs |
Temporal and Cross-modal Attention for Audio-Visual Zero- | shot | Learning |
Temporal Speciation Network for Few- | shot | Object Detection |
Temporal-Relational CrossTransformers for Few- | shot | Action Recognition |
Temporal-viewpoint Transportation Plan for Skeletal Few- | shot | Action Recognition |
Tensor feature hallucination for few- | shot | learning |
Text2Video-Zero: Text-to-Image Diffusion Models are Zero- | shot | Video Generators |
TextBoxes++: A Single- | shot | Oriented Scene Text Detector |
Textual Enhanced Adaptive Meta-Fusion for Few- | shot | Visual Recognition |
Texture Illumination Separation for Single- | shot | Structured Light Reconstruction |
THETIS: Three Dimensional Tennis | shot | s a Human Action Dataset |
Thread-Safe: Towards Recognizing Human Actions Across | shot | Boundaries |
Three-stage Training Pipeline with Patch Random Drop for Few- | shot | Object Detection |
Time-Conditioned Action Anticipation in One | shot | |
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few- | shot | Object Detection |
Tiny SSD: A Tiny Single- | shot | Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection |
Tip-Adapter: Training-Free Adaption of CLIP for Few- | shot | Classification |
TN-ZSTAD: Transferable Network for Zero- | shot | Temporal Activity Detection |
Toward Generalized Few- | shot | Open-Set Object Detection |
Towards a Fair Evaluation of Zero- | shot | Action Recognition Using External Data |
Towards Contextual Learning in Few- | shot | Object Classification |
Towards Discriminative and Transferable One-Stage Few- | shot | Object Detectors |
Towards Effective Deep Embedding for Zero- | shot | Learning |
Towards Fair Federated Learning with Zero- | shot | Data Augmentation |
Towards Fine-Grained Open Zero- | shot | Learning: Inferring Unseen Visual Features from Attributes |
Towards Open Zero- | shot | Learning |
Towards Open-World Person Re-Identification by One- | shot | Group-Based Verification |
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero- | shot | Cross-Dataset Transfer |
Towards Unbiased Multi-Label Zero- | shot | Learning With Pyramid and Semantic Attention |
Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3d Single- | shot | Detectors |
Towards Zero- | shot | Learning with Fewer Seen Class Examples |
Towards Zero- | shot | Learning: A Brief Review and an Attention-Based Embedding Network |
Towards Zero- | shot | Multi-Speaker Multi-Accent Text-to-Speech Synthesis |
Towards Zero- | shot | Scale-Aware Monocular Depth Estimation |
Towards Zero- | shot | Sign Language Recognition |
Tracking skeletal fusion feature for one | shot | learning gesture recognition |
Trading-off Information Modalities in Zero- | shot | Classification |
Transductive Episodic-Wise Adaptive Metric for Few- | shot | Learning |
Transductive Few- | shot | Classification on the Oblique Manifold |
Transductive Few- | shot | Learning with Prototype-Based Label Propagation by Iterative Graph Refinement |
Transductive Learning for Zero- | shot | Object Detection |
transductive learning method to leverage graph structure for few- | shot | learning, A |
Transductive Learning With Prior Knowledge for Generalized Zero- | shot | Action Recognition |
Transductive Multi-label Zero- | shot | Learning |
Transductive Multi-view Embedding for Zero- | shot | Recognition and Annotation |
Transductive Multi-View Zero- | shot | Learning |
Transductive Prototypical Network For Few- | shot | Classification |
Transductive Unbiased Embedding for Zero- | shot | Learning |
Transductive Zero- | shot | Action Recognition by Word-Vector Embedding |
Transductive Zero- | shot | Learning by Decoupled Feature Generation |
Transductive Zero- | shot | Learning for 3D Point Cloud Classification |
Transferable Contrastive Network for Generalized Zero- | shot | Learning |
Transferable Coupled Network for Zero- | shot | Sketch-Based Image Retrieval |
Transferable Decoding with Visual Entities for Zero- | shot | Image Captioning |
Transferrable Feature and Projection Learning with Class Hierarchy for Zero- | shot | Learning |
Transferring Knowledge From Text to Video: Zero- | shot | Anticipation for Procedural Actions |
Transformation Invariant Few- | shot | Object Detection |
Transformer Based Self-Context Aware Prediction for Few- | shot | Anomaly Detection in Videos |
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few- | shot | Learning |
TransVLAD: Focusing on Locally Aggregated Descriptors for Few- | shot | Learning |
TransZero++: Cross Attribute-Guided Transformer for Zero- | shot | Learning |
Tream Single | shot | Spatial-Temporal Action Detection |
Tree Structure-Aware Few- | shot | Image Classification via Hierarchical Aggregation |
Triple Loss Based Framework for Generalized Zero- | shot | Learning |
Triple Verification Network for Generalized Zero- | shot | Learning |
Trust Region Methods for the Estimation of a Complex Exponential Decay Model in MRI With a Single- | shot | or Multi-Shot Trajectory |
Trust Region Methods for the Estimation of a Complex Exponential Decay Model in MRI With a Single- | shot | or Multi-Shot Trajectory |
Tsallis entropy-based information measures for | shot | boundary detection and keyframe selection |
tSF: Transformer-Based Semantic Filter for Few- | shot | Learning |
Tune-A-Video: One- | shot | Tuning of Image Diffusion Models for Text-to-Video Generation |
Tutorial on Single- | shot | 3D Surface Imaging Techniques, A |
TV Commercial Detection Based on | shot | Change and Text Extraction |
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero- | shot | Learning |
Two- | shot | Spatially-Varying BRDF and Shape Estimation |
Two- | shot | Video Object Segmentation |
Two-Stage Approach to Few- | shot | Learning for Image Recognition, A |
Two-stage feature distribution rectification for few- | shot | point cloud semantic segmentation |
Two-Stream Prototype Learning Network for Few- | shot | Face Recognition Under Occlusions |
U-FPNDet: A one- | shot | traffic object detector based on U-shaped feature pyramid module |
UIE-FSMC: Underwater Image Enhancement Based on Few- | shot | Learning and Multi-Color Space |
Unbiased feature generating for generalized zero- | shot | learning |
Uncertainty-aware semi-supervised few | shot | segmentation |
Uncertainty-Guided Semi-Supervised Few- | shot | Class-Incremental Learning With Knowledge Distillation |
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero- | shot | and Few-shot Tasks |
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero- | shot | and Few-shot Tasks |
Unified Approach for Conventional Zero- | shot | , Generalized Zero-Shot, and Few-Shot Learning, A |
Unified Approach for Conventional Zero- | shot | , Generalized Zero-Shot, and Few-Shot Learning, A |
Unified Approach for Conventional Zero- | shot | , Generalized Zero-Shot, and Few-Shot Learning, A |
unified approach to detection of | shot | boundaries and subshots in compressed video, A |
Unified Approach to Gradual | shot | Transition Detection, A |
Unified Approach to | shot | Change Detection and Camera Motion Characterization, A |
Unified Framework for Generalized Low- | shot | Medical Image Segmentation With Scarce Data, A |
Unified Framework for | shot | Type Classification Based on Subject Centric Lens, A |
UniT: Unified Knowledge Transfer for Any- | shot | Object Detection and Segmentation |
Universal Prototype Transport for Zero- | shot | Action Recognition and Localization |
Universal Representation Learning from Multiple Domains for Few- | shot | Classification |
Universal-Prototype Enhancing for Few- | shot | Object Detection |
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero- | shot | NAS |
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero- | shot | Learning and Convolutional Neural Networks |
Unsupervised Algorithm for Anchor | shot | Detection, An |
Unsupervised Clustering Algorithm for Video | shot | s Using Spectral Division |
Unsupervised data association for metric learning in the context of multi- | shot | person re-identification |
Unsupervised Deep Representation Learning and Few- | shot | Classification of PolSAR Images |
Unsupervised descriptor selection based meta-learning networks for few- | shot | classification |
Unsupervised Detection of Gradual Video | shot | Changes with Motion-Based False Alarm Removal |
Unsupervised Domain Adaptation for Zero- | shot | Learning |
Unsupervised Few- | shot | Action Recognition via Action-Appearance Aligned Meta-Adaptation |
Unsupervised Few- | shot | Image Classification by Learning Features into Clustering Space |
Unsupervised Hierarchical Feature Learning Framework for One- | shot | Image Recognition, An |
Unsupervised meta-learning for few- | shot | learning |
Unsupervised MRI Reconstruction via Zero- | shot | Learned Adversarial Transformers |
Unsupervised Multi- | shot | Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise Learning, An |
Unsupervised Multi- | shot | Person Re-identification via Dynamic Bi-directional Normalized Sparse Representation |
Unsupervised Video | shot | Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor |
Unsupervised Video | shot | Segmentation Using Global Color and Texture Information |
Unsupervised Video Summarization via Deep Reinforcement Learning With | shot | -Level Semantics |
Unsupervised video- | shot | segmentation and model-free anchorperson detection for news video story parsing |
Updatable Siamese tracker with two-stage one- | shot | learning |
usefulness of diffusion-weighted readout-segmented EPI and fast spin echo with BLADE (PROPELLER) k-space sampling: A comparison with single- | shot | EPI for diffusion-weighted imaging in ischemic stroke patients, The |
Using context saliency for movie | shot | classification |
Using depth features to retrieve monocular video | shot | s |
Using External Knowledge to Improve Zero- | shot | Action Recognition in Egocentric Videos |
Using Gaussian Processes to Improve Zero- | shot | Learning with Relative Attributes |
Using Shape to Categorize: Low- | shot | Learning with an Explicit Shape Bias |
Using Topic Concepts for Semantic Video | shot | s Classification |
UVStyle-Net: Unsupervised Few- | shot | Learning of 3D Style Similarity Measure for B-Reps |
Variable Few | shot | Class Incremental and Open World Learning |
Variance Stabilizing Transformations for Intensity Estimators of | shot | Noise |
Variational Feature Disentanglement for Few- | shot | Domain Adaptation |
Variational Feature Disentangling for Fine-Grained Few- | shot | Classification |
Variational Few- | shot | Learning |
Variational Hyperparameter Inference for Few- | shot | Learning Across Domains |
Variational Inference Method for Few- | shot | Learning, A |
Variational Neuron Shifting for Few- | shot | Image Classification Across Domains |
Variational Prototype Inference for Few- | shot | Semantic Segmentation |
Variational Prototyping-Encoder: One- | shot | Learning With Prototypical Images |
VAST: Vivify Your Talking Avatar via Zero- | shot | Expressive Facial Style Transfer |
Ventral and Dorsal Stream Theory based Zero- | shot | Action Recognition |
Vertigo Effect on Your Smartphone: Dolly Zoom via Single | shot | View Synthesis, The |
VGSE: Visually-Grounded Semantic Embeddings for Zero- | shot | Learning |
Video Analysis, Cut Detection, Scene Segmentation, | shot | Detection, Shot Boundary |
Video Analysis, Cut Detection, Scene Segmentation, | shot | Detection, Shot Boundary |
Video Attribute Prototype Network: A New Perspective for Zero- | shot | Video Classification |
Video Content Representation For | shot | Retrieval And Scene Extraction |
Video genre identification using clustering-based | shot | detection algorithm |
Video Indexing Using Face Appearance and | shot | Transition Detection |
Video Pose Distillation for Few- | shot | , Fine-Grained Sports Action Recognition |
Video Segmentation and | shot | Boundary Detection Using Self-Organizing Maps |
Video | shot | Boundary Detection Algorithm |
Video | shot | boundary detection: An efficient and an accurate approach based on Gabor moments |
Video | shot | boundary detection: Seven years of TRECVid activity |
Video | shot | characterization |
Video | shot | Characterization Using Principles of Perceptual Prominence and Perceptual Grouping in Spatio-Temporal Domain |
Video | shot | classification using human faces |
Video | shot | Cut Detection using Adaptive Thresholding |
Video | shot | Detection and Characterisation in Semi-automatic Digital Video Restoration |
Video | shot | Detection and Characterization for Video Databases |
Video | shot | interpretation using principles of perceptual prominence and perceptual grouping in spatio-temporal domain |
Video | shot | Occlusion Detection Algorithm Based on the Abnormal Fluctuation of Depth Information, A |
Video | shot | Segmentation and Classification |
Video Summaries through Mosaic-Based | shot | and Scene Clustering |
Video Summarization by an Innovative Method in | shot | Detection |
Video-to- | shot | Tag Propagation by Graph Sparse Group Lasso |
Video: A | shot | Boundary Detection Method for Video Data with Fading Effects |
VideoPuzzle: Descriptive One- | shot | Video Composition |
ViewNet: A Novel Projection-Based Backbone with View Pooling for Few- | shot | Point Cloud Classification |
Visible and thermal images fusion architecture for few- | shot | semantic segmentation |
Vision-Language Models Performing Zero- | shot | Tasks Exhibit Disparities Between Gender Groups |
Visual and Textual Prior Guided Mask Assemble for Few- | shot | Segmentation and Beyond |
Visual Domain Bridge: A source-free domain adaptation for cross-domain few- | shot | learning |
Visual Language Pretrained Multiple Instance Zero- | shot | Transfer for Histopathology Images |
Visual Learning With Limited Labels: Zero- | shot | , Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
Visual Learning With Limited Labels: Zero- | shot | , Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
Visual Learning With Limited Labels: Zero- | shot | , Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
Visual Learning With Limited Labels: Zero- | shot | , Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning |
Visual Relationships as Functions: Enabling Few- | shot | Scene Graph Prediction |
Visual Sentiment Prediction Using Cross-Way Few- | shot | Learning Based on Knowledge Distillation |
Visual Structure Constraint for Transductive Zero- | shot | Learning in the Wild |
Visual Tempo Contrastive Learning for Few- | shot | Action Recognition |
Visual-Semantic Aligned Bidirectional Network for Zero- | shot | Learning |
VisualTextualRank: An Extension of VisualRank to Large-Scale Video | shot | Extraction Exploiting Tag Co-occurrence |
Vitruvian manifold: Inferring dense correspondences for one- | shot | human pose estimation, The |
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero- | shot | Learning |
Vocabulary-Informed Zero- | shot | and Open-Set Learning |
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero- | shot | Hashing |
Walsh-Hadamard Transform Kernel-Based Feature Vector for | shot | Boundary Detection |
WaveGAN: Frequency-Aware GAN for High-Fidelity Few- | shot | Image Generation |
Wavelet Attention Network for Few- | shot | learning |
Wavelet-Based Feature Vector for | shot | Boundary Detection |
WD-UNeXt: Weight loss function and dropout U-Net with ConvNeXt for automatic segmentation of few | shot | brain gliomas |
We don't Need Thousand Proposals: Single | shot | Actor-Action Detection in Videos |
Weak- | shot | Object Detection through Mutual Knowledge Transfer |
Weakly Supervised Few- | shot | Segmentation via Meta-Learning |
Weakly Supervised Few- | shot | Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning |
Weakly Supervised One | shot | Segmentation |
Weakly-Supervised Object Representation Learning for Few- | shot | Semantic Segmentation |
Webly Supervised Learning Meets Zero- | shot | Learning: A Hybrid Approach for Fine-Grained Classification |
Webly Supervised Semantic Embeddings for Large Scale Zero- | shot | Learning |
Webly-supervised zero- | shot | learning for artwork instance recognition |
Weighted Block Matching-Based Anchor | shot | Detection with Dynamic Background |
What does a platypus look like? Generating customized prompts for zero- | shot | image classification |
What Makes a Good Data Augmentation for Few- | shot | Unsupervised Image Anomaly Detection? |
What Makes for Effective Few- | shot | Point Cloud Classification? |
When Does Self-supervision Improve Few- | shot | Learning? |
When Few- | shot | Learning Meets Video Object Detection |
Where is My Spot? Few- | shot | Image Generation via Latent Subspace Optimization |
Which images to label for few- | shot | medical landmark detection? |
Who is my parent? Reconstructing video sequences from partially matching | shot | s |
Who is the Film's Director? Authorship Recognition Based on | shot | Features |
Who | shot | the Picture and When? |
WinCLIP: Zero-/Few- | shot | Anomaly Classification and Segmentation |
Worst Case Matters for Few- | shot | Recognition |
WPE: Weighted prototype estimation for few- | shot | learning |
Write a Classifier: Zero- | shot | Learning Using Purely Textual Descriptions |
XDNet: A Few- | shot | Meta-Learning Approach for Cross-Domain Visual Inspection |
XMP-Font: Self-Supervised Cross-Modality Pre-training for Few- | shot | Font Generation |
YOLinO: Generic Single | shot | Polyline Detection in Real Time |
YOLOpeds: Efficient Real-Time Single- | shot | Pedestrian Detection for Smart Camera Applications |
You Only Need The Image: Unsupervised Few- | shot | Semantic Segmentation With Co-Guidance Network |
You Only Search Once: Single | shot | Neural Architecture Search via Direct Sparse Optimization |
YouMVOS: An Actor-centric Multi- | shot | Video Object Segmentation Dataset |
Your Diffusion Model is Secretly a Zero- | shot | Classifier |
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero- | shot | Recognition |
Z-Score Normalization, Hubness, and Few- | shot | Learning |
ZBS: Zero- | shot | Background Subtraction via Instance-Level Background Modeling and Foreground Selection |
ZEETAD: Adapting Pretrained Vision-Language Model for Zero- | shot | End-to-End Temporal Action Detection |
ZegCLIP: Towards Adapting CLIP for Zero- | shot | Semantic Segmentation |
Zen-NAS: A Zero- | shot | NAS for High-Performance Image Recognition |
Zero and Few | shot | Learning With Semantic Feature Synthesis and Competitive Learning |
Zero | shot | augmentation learning in internet of biometric things for health signal processing |
Zero | shot | Detection |
Zero | shot | learning based on class visual prototypes and semantic consistency |
Zero | shot | learning by partial transfer from source domain with L2,1 norm constraint |
Zero | shot | Learning via Multi-scale Manifold Regularization |
Zero | shot | License Plate Re-Identification |
Zero-1-to-3: Zero- | shot | One Image to 3D Object |
Zero- | shot | Action Recognition with Error-Correcting Output Codes |
Zero- | shot | Action Recognition with Transformer-based Video Semantic Embedding |
Zero- | shot | Adversarial Quantization |
Zero- | shot | and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey |
Zero- | shot | and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey |
Zero- | shot | and Few-Shot Video Question Answering with Multi-Modal Prompts |
Zero- | shot | and Few-Shot Video Question Answering with Multi-Modal Prompts |
Zero- | shot | Anticipation for Instructional Activities |
Zero- | shot | Architecture for Action Recognition in Still Images, A |
Zero- | shot | Attribute Attacks on Fine-Grained Recognition Models |
Zero- | shot | Building Attribute Extraction from Large-Scale Vision and Language Models |
Zero- | shot | Camouflaged Object Detection |
Zero- | shot | Category-Level Object Pose Estimation |
Zero- | shot | Classification at Different Levels of Granularity |
Zero- | shot | Classification with Discriminative Semantic Representation Learning |
Zero- | shot | Composed Image Retrieval with Textual Inversion |
Zero- | shot | Contrastive Loss for Text-Guided Diffusion Image Style Transfer |
Zero- | shot | Cross-Media Embedding Learning With Dual Adversarial Distribution Network |
Zero- | shot | Day-Night Domain Adaptation with a Physics Prior |
Zero- | shot | Deep Domain Adaptation |
Zero- | shot | Deep Domain Adaptation With Common Representation Learning |
Zero- | shot | Detection with Transferable Object Proposal Mechanism |
Zero- | shot | Domain Adaptation via Kernel Regression on the Grassmannian |
Zero- | shot | Dual-Lens Super-Resolution |
Zero- | shot | ear cross-dataset transfer for person recognition on mobile devices |
Zero- | shot | Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation |
Zero- | shot | Emotion Recognition via Affective Structural Embedding |
Zero- | shot | Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts |
Zero- | shot | Event Detection Via Event-Adaptive Concept Relevance Mining |
Zero- | shot | Everything Sketch-Based Image Retrieval, and in Explainable Style |
Zero- | shot | Facial Expression Recognition with Multi-label Label Propagation |
Zero- | shot | Framework for Sketch Based Image Retrieval, A |
Zero- | shot | Generative Model Adaptation via Image-Specific Prompt Learning |
Zero- | shot | Grounding of Objects From Natural Language Queries |
Zero- | shot | Handwritten Chinese Character Recognition with hierarchical decomposition embedding |
Zero- | shot | Hashing with orthogonal projection for image retrieval |
Zero- | shot | Human-Object Interaction (HOI) Classification by Bridging Generative and Contrastive Image-Language Models |
Zero- | shot | Hyperspectral Image Denoising With Self-Completion with Patterned Masks |
Zero- | shot | Hyperspectral Image Denoising With Separable Image Prior |
Zero- | shot | Hyperspectral Sharpening |
Zero- | shot | Image Dehazing |
Zero- | shot | Image Enhancement with Renovated Laplacian Pyramid |
Zero- | shot | Image Super-resolution with Depth Guided Internal Degradation Learning |
Zero- | shot | Instance Segmentation |
Zero- | shot | Kernel Learning |
Zero- | shot | Keyword Spotting for Visual Speech Recognition In-the-wild |
Zero- | shot | Learning |
Zero- | shot | Learning and Detection of Teeth in Images of Bat Skulls |
Zero- | shot | Learning Based on Quality-Verifying Adversarial Network |
zero- | shot | learning boosting framework via concept-constrained clustering, A |
Zero- | shot | learning by exploiting class-related and attribute-related prior knowledge |
Zero- | shot | Learning for Reflection Removal of Single 360-Degree Image |
zero- | shot | learning framework via cluster-prototype matching, A |
Zero- | shot | Learning in the Presence of Hierarchically Coarsened Labels |
Zero- | shot | Learning of 3D Point Cloud Objects |
Zero- | shot | Learning of A Conditional Generative Adversarial Network for Data-Free Network Quantization |
Zero- | shot | Learning on 3D Point Cloud Objects and Beyond |
Zero- | shot | Learning on Semantic Class Prototype Graph |
Zero- | shot | Learning Posed as a Missing Data Problem |
Zero- | shot | Learning to Index on Semantic Trees for Scalable Image Retrieval |
Zero- | shot | Learning Using Multimodal Descriptions |
Zero- | shot | Learning Using Stacked Autoencoder with Manifold Regularizations |
Zero- | shot | Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation |
Zero- | shot | learning via a specific rank-controlled semantic autoencoder |
Zero- | shot | Learning via Attribute Regression and Class Prototype Rectification |
Zero- | shot | Learning via Category-Specific Visual-Semantic Mapping and Label Refinement |
Zero- | shot | Learning via Contrastive Learning on Dual Knowledge Graphs |
Zero- | shot | learning via discriminative representation extraction |
Zero- | shot | Learning via Joint Latent Similarity Embedding |
Zero- | shot | Learning via Latent Space Encoding |
Zero- | shot | Learning via Low-Rank-Representation Based Manifold Regularization |
Zero- | shot | Learning Via Recurrent Knowledge Transfer |
Zero- | shot | Learning via Robust Latent Representation and Manifold Regularization |
Zero- | shot | Learning via Semantic Similarity Embedding |
Zero- | shot | Learning via Visual Abstraction |
Zero- | shot | Learning With Transferred Samples |
Zero- | shot | Learning: A Comprehensive Evaluation of the Good, the Bad and the Ugly |
Zero- | shot | Learning: The Good, the Bad and the Ugly |
Zero- | shot | Medical Image Translation via Frequency-Guided Diffusion Models |
Zero- | shot | Model Diagnosis |
Zero- | shot | multi-label learning via label factorisation |
Zero- | shot | Natural Language Video Localization |
Zero- | shot | Noise2Noise: Efficient Image Denoising without any Data |
Zero- | shot | Object Classification with Large-scale Knowledge Graph |
Zero- | shot | Object Counting |
Zero- | shot | Object Detection |
Zero- | shot | Object Detection With Transformers |
Zero- | shot | Object Detection: Joint Recognition and Localization of Novel Concepts |
Zero- | shot | Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts |
Zero- | shot | object recognition by semantic manifold distance |
Zero- | shot | Object Recognition System Based on Topic Model |
Zero- | shot | Object Recognition Using Semantic Label Vectors |
Zero- | shot | Person Re-identification via Cross-View Consistency |
Zero- | shot | Pipeline Detection for Sub-Bottom Profiler Data Based on Imaging Principles |
Zero- | shot | Point Cloud Segmentation by Semantic-Visual Aware Synthesis |
Zero- | shot | Pose Transfer for Unrigged Stylized 3D Characters |
Zero- | shot | Predicate Prediction for Scene Graph Parsing |
Zero- | shot | Recognition Using Dual Visual-Semantic Mapping Paths |
Zero- | shot | Recognition via Optimal Transport |
Zero- | shot | Recognition via Semantic Embeddings and Knowledge Graphs |
Zero- | shot | Recognition via Structured Prediction |
Zero- | shot | Referring Image Segmentation with Global-Local Context Features |
Zero- | shot | Remote Sensing Image Dehazing Based on a Re-Degradation Haze Imaging Model |
Zero- | shot | Scene Classification for High Spatial Resolution Remote Sensing Images |
Zero- | shot | Scene Graph Generation with Relational Graph Neural Networks |
Zero- | shot | semantic segmentation via spatial and multi-scale aware visual class embedding |
Zero- | shot | Semantic Segmentation via Variational Mapping |
Zero- | shot | Single Image Restoration through Controlled Perturbation of Koschmieder's Model |
Zero- | shot | Single-Microphone Sound Classification and Localization in a Building Via the Synthesis of Unseen Features |
Zero- | shot | Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring |
Zero- | shot | Sketch Based Image Retrieval Using Graph Transformer |
Zero- | shot | sketch-based image retrieval via adaptive relation-aware metric learning |
Zero- | shot | sketch-based image retrieval with structure-aware asymmetric disentanglement |
Zero- | shot | Sketch-Image Hashing |
Zero- | shot | spatial layout conditioning for text-to-image diffusion models |
Zero- | shot | Style Transfer for Multimodal Data-Driven Gesture Synthesis |
Zero- | shot | Super-Resolution Using Deep Internal Learning |
Zero- | shot | Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy |
Zero- | shot | Task Transfer |
Zero- | shot | Temporal Action Detection via Vision-Language Prompting |
Zero- | shot | temporal event localisation: Label-free, training-free, domain-free |
Zero- | shot | Text Classification with Semantically Extended Graph Convolutional Network |
Zero- | shot | Text-Guided Object Generation with Dream Fields |
Zero- | shot | Text-to-Parameter Translation for Game Character Auto-Creation |
Zero- | shot | unsupervised image-to-image translation via exploiting semantic attributes |
Zero- | shot | Unsupervised Transfer Instance Segmentation |
Zero- | shot | versus Many-shot: Unsupervised Texture Anomaly Detection |
Zero- | shot | versus Many-shot: Unsupervised Texture Anomaly Detection |
Zero- | shot | Video Event Detection With High-Order Semantic Concept Discovery and Matching |
Zero- | shot | Video Grounding With Pseudo Query Lookup and Verification |
Zero- | shot | Video Moment Retrieval from Frozen Vision-Language Models |
Zero- | shot | Video Object Segmentation via Attentive Graph Neural Networks |
Zero- | shot | Video Object Segmentation With Co-Attention Siamese Networks |
Zero- | shot | Visual Imitation |
Zero- | shot | Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks |
Zero- | shot | Visual Recognition via Bidirectional Latent Embedding |
Zero- | shot | , One-Shot, Few-Shot Learning for Human Action Recognition |
Zero- | shot | , One-Shot, Few-Shot Learning for Human Action Recognition |
Zero- | shot | , One-Shot, Few-Shot Learning for Human Action Recognition |
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero- | shot | Learning |
Zero-VIRUS*: Zero- | shot | Vehicle Route Understanding System for Intelligent Transportation |
ZeroCap: Zero- | shot | Image-to-Text Generation for Visual-Semantic Arithmetic |
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero- | shot | Learning |
ZeroQ: A Novel Zero | shot | Quantization Framework |
ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few- | shot | Learning |
ZiCo-BC: A Bias Corrected Zero- | shot | NAS for Vision Tasks |
ZIGNeRF: Zero- | shot | 3D Scene Representation with Invertible Generative Neural Radiance Fields |
ZSTAD: Zero- | shot | Temporal Activity Detection |
2527 for shot