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Group Activity Recognition
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Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos.
Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Necolizer/CHASE
공식 코드CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
https://github.com/berkerdemirel/decompl
공식 코드https://github.com/hongluzhou/composer
공식 코드COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
https://github.com/jacobyuan7/din_gar
공식 코드Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
https://github.com/kuangzijian/Improved-Actor-Relation-Graph-based-Group-Activity-Recognition
공식 코드Improved Actor Relation Graph based Group Activity Recognition
https://github.com/mgiant/mp-gcn
공식 코드Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph
https://github.com/mostafa-saad/deep-activity-rec
공식 코드A Hierarchical Deep Temporal Model for Group Activity Recognition
https://github.com/tranxuantuyen/computer
공식 코드Unified Framework with Consistency across Modalities for Human Activity Recognition
https://github.com/uark-cviu/spartan
공식 코드SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
https://github.com/wjchaoGit/Group-Activity-Recognition
공식 코드Learning Actor Relation Graphs for Group Activity Recognition
https://github.com/xueyee/groupformer
공식 코드GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
https://github.com/East-Tree/groupAc_GCN
Learning Actor Relation Graphs for Group Activity Recognition
https://github.com/JacobYuan7/DIN-Group-Activity-Recognition-Benchmark
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
https://github.com/chihina/Joint-Group-Activity-Recognition
https://github.com/fabiozappo/SkeletonGroupActivityRecognition
Learning Group Activities from Skeletons without Individual Action Labels
https://github.com/kennymckormick/pyskl
https://github.com/open-mmlab/mmaction2
https://github.com/sandman002/One-Style-is-All-You-Need-to-Generate-a-Video
https://github.com/txyugood/PaddlePoseC3D
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.