| _ | agnostic | _ |
|---|
| Action- | agnostic | Human Pose Forecasting |
| Actor- | agnostic | Multi-label Action Recognition with Multi-modal Query |
| agnostic | attribute segmentation of dynamic scenes with limited spatio-temporal resolution |
| agnostic | Domain Adaptation |
| Ante-Hoc Generation of Task- | agnostic | Interpretation Maps |
| Application- | agnostic | Spatio-Temporal Hand Graph Representations for Stable Activity Understanding |
| Architecture, Dataset and Model-Scale | agnostic | Data-free Meta-Learning |
| ARUBA: An Architecture- | agnostic | Balanced Loss for Aerial Object Detection |
| Attack | agnostic | Adversarial Defense via Visual Imperceptible Bound |
| Attack | agnostic | Detection of Adversarial Examples via Random Subspace Analysis |
| Attack | agnostic | Statistical Method for Adversarial Detection |
| Attack- | agnostic | Adversarial Detection on Medical Data Using Explainable Machine Learning |
| Attack- | agnostic | Deep Face Anti-Spoofing |
| Attention-Aware Age- | agnostic | Visual Place Recognition |
| Background- | agnostic | Framework With Adversarial Training for Abnormal Event Detection in Video, A |
| BE-STI: Spatial-Temporal Integrated Network for Class- | agnostic | Motion Prediction with Bidirectional Enhancement |
| Believe the HiPe: Hierarchical perturbation for fast, robust, and model- | agnostic | saliency mapping |
| Bipartite Ranking Fairness Through a Model | agnostic | Ordering Adjustment |
| Bootstrap Your Own Prior: Towards Distribution- | agnostic | Novel Class Discovery |
| C2 AM: Contrastive learning of Class- | agnostic | Activation Map for Weakly Supervised Object Localization and Semantic Segmentation |
| CA-SSL: Class- | agnostic | Semi-Supervised Learning for Detection and Segmentation |
| Camera- | agnostic | Monocular SLAM and Semi-dense 3D Reconstruction |
| CAMM: Building Category- | agnostic | and Animatable 3D Models from Monocular Videos |
| CANet: Class- | agnostic | Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning |
| CARTO: Category and Joint | agnostic | Reconstruction of ARTiculated Objects |
| CascadePSP: Toward Class- | agnostic | and Very High-Resolution Segmentation via Global and Local Refinement |
| Class | agnostic | Image Common Object Detection |
| Class- | agnostic | Counting |
| Class- | agnostic | Few-shot Object Counting |
| Class- | agnostic | Object Counting Robust to Intraclass Diversity |
| Class- | agnostic | Object Detection |
| Class- | agnostic | Object Detection with Multi-modal Transformer |
| Class- | agnostic | Segmentation Loss and Its Application to Salient Object Detection and Segmentation |
| Class- | agnostic | Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model |
| Classifier- | agnostic | saliency map extraction |
| Cluster-Based 3D Keypoint Detection for Category- | agnostic | 6D Pose Tracking |
| Coil- | agnostic | Attention-based Network for Parallel MRI Reconstruction |
| ConCoNet: Class- | agnostic | counting with positive and negative exemplars |
| Context-Aware Captions from Context- | agnostic | Supervision |
| Counting Out Time: Class | agnostic | Video Repetition Counting in the Wild |
| CRFace: Confidence Ranker for Model- | agnostic | Face Detection Refinement |
| DAMSL: Domain | agnostic | Meta Score-based Learning |
| Dataset | agnostic | document object detection |
| Decouple-and-Sample: Protecting Sensitive Information in Task | agnostic | Data Release |
| Deep Learning Approach for LiDAR Resolution- | agnostic | Object Detection, A |
| Degradation- | agnostic | Correspondence from Resolution-asymmetric Stereo |
| Denoise and Contrast for Category | agnostic | Shape Completion |
| Developing Robust and Lightweight Adversarial Defenders by Enforcing Orthogonality on Attack- | agnostic | Denoising Autoencoders |
| Discriminant Distribution- | agnostic | Loss for Facial Expression Recognition in the Wild |
| Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class | agnostic | Segmentation Framework |
| Distortion | agnostic | Deep Watermarking |
| distortion- | agnostic | video quality metric based on multi-scale spatio-temporal structural information, A |
| DITAN: A deep-learning domain | agnostic | framework for detection and interpretation of temporally-based multivariate ANomalies |
| Divergence- | agnostic | Unsupervised Domain Adaptation by Adversarial Attacks |
| Diversity is Definitely Needed: Improving Model- | agnostic | Zero-shot Classification via Stable Diffusion |
| Doc2graph: A Task | agnostic | Document Understanding Framework Based on Graph Neural Networks |
| Domain | agnostic | Feature Learning for Image and Video Based Face Anti-spoofing |
| Domain | agnostic | Normalization Layer for Unsupervised Adversarial Domain Adaptation, A |
| Domain- | agnostic | Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation |
| Domain- | agnostic | Prior for Transfer Semantic Segmentation |
| Domain- | agnostic | Video Prediction from Motion Selective Kernels |
| Downstream- | agnostic | Adversarial Examples |
| Dynamic Mixture of Counter Network for Location- | agnostic | Crowd Counting |
| Dynamic Model- | agnostic | Meta-Learning for Incremental Few-Shot Learning |
| Embedded Cyclegan For Shape- | agnostic | Image-To-Image Translation |
| Employing Acoustic Features To Aid Neural Networks Towards Platform | agnostic | Learning In Lung Ultrasound Imaging |
| Enhancing Modality- | agnostic | Representations via Meta-learning for Brain Tumor Segmentation |
| Environment | agnostic | Representation for Visual Reinforcement learning |
| Environment- | agnostic | Multitask Learning for Natural Language Grounded Navigation |
| EPAT: Euclidean Perturbation Analysis and Transform - An | agnostic | Data Adaptation Framework for Improving Facial Landmark Detectors |
| Exemplar Free Class | agnostic | Counting |
| Explainable Model- | agnostic | Similarity and Confidence in Face Verification |
| Exploring Category- | agnostic | Clusters for Open-Set Domain Adaptation |
| FADE: Fusing the Assets of Decoder and Encoder for Task- | agnostic | Upsampling |
| Fast Adaptive Active Noise Control Based on Modified Model- | agnostic | Meta-Learning Algorithm |
| Fast Local Spatial Verification for Feature- | agnostic | Large-Scale Image Retrieval |
| Fast, Processor-Cardinality | agnostic | PRNG with a Tracking Application |
| FATE: Feature- | agnostic | Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data |
| Feature- | agnostic | Low-cost Place Recognition for Appearance-based Mapping |
| Federated Learning with Data- | agnostic | Distribution Fusion |
| Few Shot Learning For Point Cloud Data Using Model | agnostic | Meta Learning |
| FLAVR: Flow- | agnostic | Video Representations for Fast Frame Interpolation |
| Framework- | agnostic | Semantically-aware Global Reasoning for Segmentation |
| From NeRFLiX to NeRFLiX++: A General NeRF- | agnostic | Restorer Paradigm |
| FSGAN: Subject | agnostic | Face Swapping and Reenactment |
| FSGANv2: Improved Subject | agnostic | Face Swapping and Reenactment |
| Generalizable model- | agnostic | semantic segmentation via target-specific normalization |
| GraphWalks: Efficient Shape | agnostic | Geodesic Shortest Path Estimation |
| GROUSE: A Task and Model | agnostic | Wavelet- Driven Framework for Medical Imaging |
| Hallucinating | agnostic | Images to Generalize Across Domains |
| Heterogeneous Face Frontalization via Domain | agnostic | Learning |
| Hierarchical context- | agnostic | network with contrastive feature diversity for one-shot semantic segmentation |
| Improving Test-Time Adaptation Via Shift- | agnostic | Weight Regularization and Nearest Source Prototypes |
| Interactive Class- | agnostic | Object Counting |
| Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model- | agnostic | explanations |
| Interpretable Model- | agnostic | Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models |
| iTAML: An Incremental Task- | agnostic | Meta-learning Approach |
| Joint Framework Towards Class-aware and Class- | agnostic | Alignment for Few-Shot Segmentation, A |
| Language- | agnostic | Visual-Semantic Embeddings |
| Learning Domain- | agnostic | Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation |
| Learning From Visual Demonstrations via Replayed Task-Contrastive Model- | agnostic | Meta-Learning |
| Learning Image-Adaptive Codebooks for Class- | agnostic | Image Restoration |
| Learning Landmarks Motion from Speech for Speaker- | agnostic | 3d Talking Heads Generation |
| Learning Symbolic Model- | agnostic | Loss Functions via Meta-Learning |
| Leveraging Question Answering for Domain- | agnostic | Information Extraction |
| Location-specific vs Location- | agnostic | Machine Learning Metamodels for Predicting Pasture Nitrogen Response Rate |
| Long Video Generation with Time- | agnostic | VQGAN and Time-Sensitive Transformer |
| MA3: Model | agnostic | Adversarial Augmentation for Few Shot learning |
| MACnet: Mask augmented counting network for class- | agnostic | counting |
| MAP: Towards Balanced Generalization of IID and OOD through Model- | agnostic | Adapters |
| MARS: Learning Modality- | agnostic | Representation for Scalable Cross-Media Retrieval |
| MARS: Model- | agnostic | Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation |
| MASON: A Model | agnostic | ObjectNess Framework |
| MASTAF: A Model- | agnostic | Spatio-Temporal Attention Fusion Network for Few-shot Video Classification |
| Matching Is Not Enough: A Two-Stage Framework for Category- | agnostic | Pose Estimation |
| Meta-Attack: Class- | agnostic | and Model-agnostic Physical Adversarial Attack |
| Meta-Attack: Class- | agnostic | and Model-agnostic Physical Adversarial Attack |
| Meta-learning with Context- | agnostic | Initialisations |
| Meta-learning with topic- | agnostic | representations for zero-shot stance detection |
| Mind the Gap: Learning Modality- | agnostic | Representations With a Cross-Modality UNet |
| Mind's Eye: Visualizing Class- | agnostic | Features of CNNS, The |
| Minimalist Approach to Type- | agnostic | Detection of Quadrics in Point Clouds, A |
| Modality- | agnostic | Debiasing for Single Domain Generalization |
| Modality- | agnostic | Learning for Radar-Lidar Fusion in Vehicle Detection |
| Model- | agnostic | Adversarial Example Detection Through Logit Distribution Learning |
| Model- | agnostic | Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning |
| Model- | agnostic | Gender Debiased Image Captioning |
| Model- | agnostic | Metric for Zero-Shot Learning |
| Model- | agnostic | Multi-Domain Learning with Domain-Specific Adapters for Action Recognition |
| Model- | agnostic | Temporal Regularizer for Object Localization Using Motion Fields |
| Model- | agnostic | Visual Explanations via Approximate Bilinear Models |
| MTL-NAS: Task- | agnostic | Neural Architecture Search Towards General-Purpose Multi-Task Learning |
| Object Prior Embedded Network for Query- | agnostic | Image Retrieval |
| Object- | agnostic | Transformers for Video Referring Segmentation |
| Object- | agnostic | Vision Measurement Framework Based on One-Shot Learning and Behavior Tree |
| Partition-and-Debias: | agnostic | Biases Mitigation via A Mixture of Biases-Specific Experts |
| Pose Augmentation: Class- | agnostic | Object Pose Transformation for Object Recognition |
| Pose for Everything: Towards Category- | agnostic | Pose Estimation |
| Pose-based Contrastive Learning for Domain | agnostic | Activity Representations |
| PoseContrast: Class- | agnostic | Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning |
| PoseFix: Model- | agnostic | General Human Pose Refinement Network |
| Quality- | agnostic | Deepfake Detection with Intra-model Collaborative Learning |
| Quality- | agnostic | Image Recognition via Invertible Decoder |
| Question- | agnostic | Attention for Visual Question Answering |
| RADIO: Reference- | agnostic | Dubbing Video Synthesis |
| Randomized Quantization: A Generic Augmentation for Data | agnostic | Self-supervised Learning |
| Rapid, Accurate and Machine- | agnostic | Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis, A |
| ReMOT: A model- | agnostic | refinement for multiple object tracking |
| Represent, Compare, and Learn: A Similarity-Aware Framework for Class- | agnostic | Counting |
| Revisiting AUC-Oriented Adversarial Training With Loss- | agnostic | Perturbations |
| Revisiting the transferability of adversarial examples via source- | agnostic | adversarial feature inducing method |
| SA-ConvONet: Sign- | agnostic | Optimization of Convolutional Occupancy Networks |
| SAFL-Net: Semantic- | agnostic | Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection |
| SAL: Sign | agnostic | Learning of Shapes From Raw Data |
| SALAD: Source-free Active Label- | agnostic | Domain Adaptation for Classification, Segmentation and Detection |
| Sampling | agnostic | Feature Representation for Long-Term Person Re-Identification |
| SANet: Scene | agnostic | Network for Camera Localization |
| Scene Recognition With Prototype- | agnostic | Scene Layout |
| Seek Common Ground While Reserving Differences: A Model- | agnostic | Module for Noisy Domain Adaptation |
| Segfix: Model- | agnostic | Boundary Refinement for Segmentation |
| SensitiveNets: Learning | agnostic | Representations with Application to Face Images |
| Sensor | agnostic | Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning |
| Sequential architecture- | agnostic | black-box attack design and analysis |
| ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow- | agnostic | Tree Crown Detection from RGB-Thermal Drone Imagery |
| SHOWMe: Benchmarking Object- | agnostic | Hand-Object 3D Reconstruction |
| Shuffle-Then-Assemble: Learning Object- | agnostic | Visual Relationship Features |
| Sign- | agnostic | Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds |
| Single Image Dehazing with a Generic Model- | agnostic | Convolutional Neural Network |
| Sparsity | agnostic | Depth Completion |
| StarMap for Category- | agnostic | Keypoint and Viewpoint Estimation |
| Style | agnostic | 3D Reconstruction via Adversarial Style Transfer |
| Style- | agnostic | Reinforcement Learning |
| Style- | agnostic | Representation Learning for Visible-Infrared Person Re-Identification |
| StyleMeUp: Towards Style- | agnostic | Sketch-Based Image Retrieval |
| SuperTickets: Drawing Task- | agnostic | Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning |
| TAPE: Task- | agnostic | Prior Embedding for Image Restoration |
| Task | agnostic | and Post-hoc Unseen Distribution Detection |
| Task | agnostic | Meta-Learning for Few-Shot Learning |
| Task | agnostic | Restoration of Natural Video Dynamics |
| Task | agnostic | Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks |
| Task- | agnostic | Continual Learning Using Base-Child Classifiers |
| Task- | agnostic | Open-Set Prototype for Few-Shot Open-Set Recognition |
| Task- | agnostic | Vision Transformer for Distributed Learning of Image Processing |
| Temporal- | agnostic | change region proposal for semantic change detection |
| TopDiG: Class- | agnostic | Topological Directional Graph Extraction from Remote Sensing Images |
| Toward a Dataset- | agnostic | Word Segmentation Method |
| Toward Class- | agnostic | Tracking Using Feature Decorrelation in Point Clouds |
| Toward Robust Visual Object Tracking With Independent Target- | agnostic | Detection and Effective Siamese Cross-Task Interaction |
| Towards Efficient and Data | agnostic | Image Classification Training Pipeline for Embedded Systems |
| Towards General Purpose Vision Systems: An End-to-End Task- | agnostic | Vision-Language Architecture |
| Towards generalizable detection of face forgery via self-guided model- | agnostic | learning |
| Towards Modality- | agnostic | Person Re-identification with Descriptive Query |
| TransWeaver: Weave Image Pairs for Class | agnostic | Common Object Detection |
| Ultrahigh-Resolution Panoramic Imaging for Format- | agnostic | Video Production |
| Uncertainty in Model- | agnostic | Meta-Learning using Variational Inference |
| Unlearnable Clusters: Towards Label- | agnostic | Unlearnable Examples |
| Video Class | agnostic | Segmentation Benchmark for Autonomous Driving |
| View- | agnostic | Point Cloud Generation for Occlusion Reduction in Aerial Lidar |
| Viewpoint- | agnostic | Change Captioning with Cycle Consistency |
| Viewpoint- | agnostic | Image Rendering |
| Weakly Supervised Class- | agnostic | Motion Prediction for Autonomous Driving |
| Weakly-supervised Instance Segmentation via Class- | agnostic | Learning with Salient Images |
| X3SEG: Model- | agnostic | Explanations for the Semantic Segmentation of 3D Point Clouds With Prototypes and Criticism |
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