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Fine-grained Action Recognition

Papers

Showing 125 of 38 papers

TitleStatusHype
Understanding Long Videos with Multimodal Language ModelsCode2
Revealing Single Frame Bias for Video-and-Language LearningCode2
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning StabilizationCode1
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action RecognitionCode1
Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low Grade Orthopedic Pain in HorsesCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
Attention-Based Context Aware Reasoning for Situation RecognitionCode1
Multi-Modal Domain Adaptation for Fine-Grained Action RecognitionCode1
What and How Well You Performed? A Multitask Learning Approach to Action Quality AssessmentCode1
A Review on Coarse to Fine-Grained Animal Action Recognition0
A Simple and Efficient Baseline for Video Action Recognition0
FACTS: Fine-Grained Action Classification for Tactical Sports0
Pre-training for Action Recognition with Automatically Generated Fractal DatasetsCode0
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual ContextCode0
Are Visual-Language Models Effective in Action Recognition? A Comparative Study0
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition0
Understanding Video Transformers via Universal Concept Discovery0
Flow Dynamics Correction for Action Recognition0
M^3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition0
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure SkatingCode0
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition0
Real-time Action Recognition for Fine-Grained Actions and The Hand Wash DatasetCode0
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition0
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20210
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