Index for shot

_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 shots Based on Learning from Example Videos
Automatic collection of Web video shots 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 shots 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 shots 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
Autoshot: 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 shots
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 shots 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 shots 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 shots 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 shots 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 shots from Untrimmed Videos
Composing Good shots 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 shots 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 shots
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 shots 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 shots 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-shots 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 shots, 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 shots 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 shots
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
Hypershot: 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 shots 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 shots Based on Motion and Color Analysis
Indexing for reuse of TV news shots
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 shots' 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 shots 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
LibFewshot: 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 shots 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 shots
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 shots
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-shots 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 shots
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 shots 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 shots 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 shots 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 shots 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 shots 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 shots
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 shots
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 shots 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 shots using spectral clustering
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Spatiotemporal modeling and matching of video shots
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 shots
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 shots 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 shots 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 shots 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 shots
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 shots 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 shots
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
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Last update: 2-May-24 21:06:23
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