Few Shot Action Recognition
5개 벤치마크 · 논문 76편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Temporal Alignment-Free Video Matching for Few-shot Action Recognition
Papers
Active Multimodal Distillation for Few-shot Action Recognition
Owing to its rapid progress and broad application prospects, few-shot action recognition has attracted considerable interest. However, current methods are predominantly based on limited single-modal data, which does not …
Action RecognitionFew-Shot action recognitionFew Shot Action RecognitionRepresentation LearningTask-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Large-scale pre-trained models have achieved remarkable success in language and image tasks, leading an increasing number of studies to explore the application of pre-trained image models, such as CLIP, in the domain of …
Action Recognitioncross-modal alignmentFew-Shot action recognitionFew Shot Action Recognition+1Temporal Alignment-Free Video Matching for Few-shot Action Recognition
Few-Shot Action Recognition (FSAR) aims to train a model with only a few labeled video instances. A key challenge in FSAR is handling divergent narrative trajectories for precise video matching. While the frame- and tupl…
Action RecognitionFew-Shot action recognitionFew Shot Action RecognitionJoint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition
Few-shot Action Recognition (FSAR) constitutes a crucial challenge in computer vision, entailing the recognition of actions from a limited set of examples. Recent approaches mainly focus on employing image-level features…
Action RecognitionFew-Shot action recognitionFew Shot Action RecognitionManta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
In few-shot action recognition (FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the high computational complexity of mainstream Transformer-based methods limits their applic…
Action RecognitionContrastive LearningFew-Shot action recognitionFew Shot Action Recognition+1TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Going beyond few-shot action recognition (FSAR), cross-domain FSAR (CDFSAR) has attracted recent research interests by solving the domain gap lying in source-to-target transfer learning. Existing CDFSAR methods mainly fo…
Action RecognitionCross-Domain Few-ShotFew-Shot action recognitionFew Shot Action Recognition+1