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Fine-grained Action Recognition
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A Simple and Efficient Baseline for Video Action Recognition
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
FACTS: Fine-Grained Action Classification for Tactical Sports
Pre-training for Action Recognition with Automatically Generated Fractal Datasets
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Are Visual-Language Models Effective in Action Recognition? A Comparative Study
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Understanding Long Videos with Multimodal Language Models
Understanding Video Transformers via Universal Concept Discovery
Flow Dynamics Correction for Action Recognition
M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition
Real-time Action Recognition for Fine-Grained Actions and The Hand Wash Dataset
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Revealing Single Frame Bias for Video-and-Language Learning
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
Adaptive Recursive Circle Framework for Fine-grained Action Recognition
Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low Grade Orthopedic Pain in Horses
Few-shot Action Recognition with Prototype-centered Attentive Learning
Object Properties Inferring from and Transfer for Human Interaction Motions
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Learning Discriminative Motion Features Through Detection
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold
Analysis of Hand Segmentation in the Wild
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition
Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
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