https://github.com/TaeSoo-Kim/TCNActionRecognition
공식 코드Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
Papers with Code 아카이브
Multimodal Activity Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/airglow/gimme_signals_action_recognition
공식 코드Gimme Signals: Discriminative signal encoding for multimodal activity recognition
https://github.com/mduhme/fusion-gcn
공식 코드Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
https://github.com/rogetk/oddet
공식 코드https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/assemblenet
공식 코드AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
https://github.com/yanbeic/CCL
공식 코드Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
https://github.com/yjxiong/caffe
공식 코드Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/yjxiong/temporal-segment-networks
공식 코드Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/yysijie/st-gcn
공식 코드Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/1zgh/st-gcn
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/AbiterVX/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/CrazySherman/goodlife
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/DixinFan/st-gcn
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/GeyuanZhang/st-gcn-master
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/KrisLee512/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/MIT-HAN-LAB/temporal-shift-module
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/MichiganCOG/M-PACT
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/MindSpore-scientific-2/code-3/tree/main/temporal-and-aspectual-entailment
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/MindSpore-scientific/code-14/tree/main/temporal-and-aspectual-entailment
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/MindSpore-scientific/code-2/tree/main/temporal-and-aspectual-entailment
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/Nortinwell/TSN
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/recognition/stgcn.md
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/Powercoder64/TAA-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/TaatiTeam/stgcn_parkinsonism_prediction
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/Tudouu/stgcn_light_op
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/WavesUR/embedded_TSM
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/XinzeWu/st-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/XuHao9166/TSN_BehaviorRecognition_ForwardCalculation
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/XuHao9166/TSN_BehaviorRecognition_GenerateTrainImages
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/ZJCV/Non-local
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/ZJCV/TSN
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/ZhangNYG/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/antoniolq/st-gcn
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/damien911224/theWorldInSafety
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/eliasboughosn/Spatial-Temporal-Graph-Convolutional-Networks
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/ericksiavichay/cs230-final-project
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.