Papers with Code 아카이브
Action Analysis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents
A vision-based framework for human behavior understanding in industrial assembly lines
Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework
MMAD: Multi-label Micro-Action Detection in Videos
MobileFlow: A Multimodal LLM For Mobile GUI Agent
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
Skeleton-based action analysis for ADHD diagnosis
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
Unsupervised View-Invariant Human Posture Representation
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
VI-Net: View-Invariant Quality of Human Movement Assessment
Adaptive Interaction Modeling via Graph Operations Search
Explainable Video Action Reasoning via Prior Knowledge and State Transitions
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
EV-Action: Electromyography-Vision Multi-Modal Action Dataset
3D human action analysis and recognition through GLAC descriptor on 2D motion and static posture images
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls
Action-Attending Graphic Neural Network
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition
Skeleton-based Action Recognition Using LSTM and CNN
Investigation of Different Skeleton Features for CNN-based 3D Action Recognition
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
Human Action Recognition without Human
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Going Deeper into Action Recognition: A Survey
Elastic Functional Coding of Riemannian Trajectories
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.