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Action Classification
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Image source: The Kinetics Human Action Video Dataset
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Dark Transformer: A Video Transformer for Action Recognition in the Dark
EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition
Learning Correlation Structures for Vision Transformers
Enhancing Video Transformers for Action Understanding with VLM-aided Training
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing
VideoMamba: State Space Model for Efficient Video Understanding
Classification of Tennis Actions Using Deep Learning
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments
Open-Vocabulary Video Relation Extraction
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room
CAST: Cross-Attention in Space and Time for Video Action Recognition
Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning
ADM-Loc: Actionness Distribution Modeling for Point-supervised Temporal Action Localization
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
OmniVec: Learning robust representations with cross modal sharing
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
After-Stroke Arm Paresis Detection using Kinematic Data
Proposal-based Temporal Action Localization with Point-level Supervision
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
MOFO: MOtion FOcused Self-Supervision for Video Understanding
Progression-Guided Temporal Action Detection in Videos
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Temporally-Adaptive Models for Efficient Video Understanding
Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification
Actor-agnostic Multi-label Action Recognition with Multi-modal Query
What Can Simple Arithmetic Operations Do for Temporal Modeling?
Semi Supervised Meta Learning for Spatiotemporal Learning
Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.