Cover Image

Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qian, Zefeng, Yao, Xincheng, Huang, Yifei, Zhang, Chongyang, Ying, Jiangyong, Sun, Hong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition
by: Qian, Zefeng, et al.
Published: (2025)

ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
by: Yao, Xincheng, et al.
Published: (2025)

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
by: Yao, Xincheng, et al.
Published: (2026)

Knowledge is Power: Advancing Few-shot Action Recognition with Multimodal Semantics from MLLMs
by: Xing, Jiazheng, et al.
Published: (2026)

Hierarchical Compositional Representations for Few-shot Action Recognition
by: Li, Changzhen, et al.
Published: (2022)

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
by: Yao, Xincheng, et al.
Published: (2024)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
by: Wang, Xiang, et al.
Published: (2023)

A Comprehensive Review of Few-shot Action Recognition
by: Wanyan, Yuyang, et al.
Published: (2024)

Active Multimodal Distillation for Few-shot Action Recognition
by: Feng, Weijia, et al.
Published: (2025)

Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
by: Kumar, Pulkit, et al.
Published: (2024)

Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2024)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
by: Kumar, Pulkit, et al.
Published: (2025)

DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
by: Guo, Fei, et al.
Published: (2024)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition
by: Lee, SuBeen, et al.
Published: (2025)

Adaptive Prototype Model for Attribute-based Multi-label Few-shot Action Recognition
by: Xiao, Juefeng, et al.
Published: (2025)

Seeing the Undefined: Chain-of-Action for Generative Semantic Labels
by: Wei, Meng, et al.
Published: (2024)

Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
by: Long, Fei, et al.
Published: (2025)

Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2025)

Distinguishing Visually Similar Actions: Prompt-Guided Semantic Prototype Modulation for Few-Shot Action Recognition
by: Li, Xiaoyang, et al.
Published: (2025)

D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
by: Pei, Wenjie, et al.
Published: (2023)

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
by: Zhou, Jiaming, et al.
Published: (2024)

Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition
by: Zhang, Mingfang, et al.
Published: (2024)

Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
by: Guo, Hanyu, et al.
Published: (2024)

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
by: Zhu, Anqi, et al.
Published: (2024)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
by: Huang, Wenbo, et al.
Published: (2024)

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
by: Huang, Wenbo, et al.
Published: (2024)

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
by: Liu, Hongli, et al.
Published: (2026)

MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition
by: Xing, Jiazheng, et al.
Published: (2023)

SCALE: Semantic- and Confidence-Aware Conditional Variational Autoencoder for Zero-shot Skeleton-based Action Recognition
by: Oraki, Soroush, et al.
Published: (2026)

Zero-shot Compositional Action Recognition with Neural Logic Constraints
by: Ye, Gefan, et al.
Published: (2025)

Enhancing Spatio-Temporal Zero-shot Action Recognition with Language-driven Description Attributes
by: Kim, Yehna, et al.
Published: (2025)

Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action Localization
by: Qi, Mengshi, et al.
Published: (2025)

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation
by: Xu, Changhua, et al.
Published: (2026)

Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-$\mathrm{M^2}$DF)
by: Guo, Fei, et al.
Published: (2024)

Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework
by: Kamide, Koichiro, et al.
Published: (2025)

MoCrop: Training Free Motion Guided Cropping for Efficient Video Action Recognition
by: Huang, Binhua, et al.
Published: (2025)

Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
by: Yu, Yating, et al.
Published: (2024)

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
by: Huang, Wenbo, et al.
Published: (2025)

EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges
by: Jon, Hyo Jin, et al.
Published: (2026)

ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models
by: Yang, Cheng, et al.
Published: (2026)