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Few Shot Action Recognition

Few-shot (FS) action recognition is a challenging com- puter vision problem, where the task is to classify an unlabelled query video into one of the action categories in the support set having limited samples per action class.

Papers

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Showing 1–50 of 76 papers

TitleStatusHype
CLIP-guided Prototype Modulating for Few-shot Action RecognitionCode1
Action Genome: Actions as Composition of Spatio-temporal Scene GraphsCode1
TA2N: Two-Stage Action Alignment Network for Few-shot Action RecognitionCode1
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action RecognitionCode1
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
TempCLR: Temporal Alignment Representation with Contrastive LearningCode1
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence ClassificationCode1
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action RecognitionCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Object-Region Video TransformersCode1
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
Revisiting spatio-temporal layouts for compositional action recognitionCode1
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action RecognitionCode1
Temporal-Relational CrossTransformers for Few-Shot Action RecognitionCode1
Temporal Alignment-Free Video Matching for Few-shot Action RecognitionCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Spatio-temporal Relation Modeling for Few-shot Action RecognitionCode1
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence—0
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment—0
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition—0
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition—0
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition—0
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition—0
On the Importance of Spatial Relations for Few-shot Action Recognition—0
Rethinking matching-based few-shot action recognition—0
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition—0
Semantic-aware Video Representation for Few-shot Action Recognition—0
Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition—0
SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition—0
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition—0
A Comprehensive Review of Few-shot Action Recognition—0
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs—0
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition—0
Active Multimodal Distillation for Few-shot Action Recognition—0
A Generative Approach to Zero-Shot and Few-Shot Action Recognition—0
All About Knowledge Graphs for Actions—0
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition—0
Compound Prototype Matching for Few-shot Action Recognition—0
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition—0
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization—0
Few-shot Action Recognition with Captioning Foundation Models—0
Few-Shot Action Recognition with Compromised Metric via Optimal Transport—0
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization—0
Few-Shot Video Classification via Temporal Alignment—0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition—0
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