Papers with Code · CC BY-SA 4.0

NTU RGB+D

아카이브 평가 135건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
2s RA-GCN	Accuracy (CV) 93.0 Accuracy (CS) 85.8	Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons 2019-05-16	코드 1 · 코드 2 · 코드 3
PeGCN	Accuracy (CV) 93.4 Accuracy (CS) 85.6	Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition 2020-03-17	코드 1
GVFE + AS-GCN with DH-TCN	Accuracy (CV) 92.8 Accuracy (CS) 85.3	Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition 2019-12-20	연결 없음
PR-GCN	Accuracy (CV) 91.7 Accuracy (CS) 85.2	Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition 2020-10-14	연결 없음
AR-GCN	Accuracy (CV) 93.2 Accuracy (CS) 85.1	An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition 2019-11-27	연결 없음
3scale ResNet152	Accuracy (CS) 85.0	Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn 2017-04-19	연결 없음
SR-TSL	Accuracy (CV) 92.4 Accuracy (CS) 84.8	Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning 2018-05-07	연결 없음
3s-ActCLR	Accuracy (CV) 88.8 Accuracy (CS) 84.3	Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition 2023-03-20	연결 없음
RGB+Skeleton (cross-attention)	Accuracy (CV) 89.27 Accuracy (CS) 84.23	Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition 2020-01-20	연결 없음
CoAGCN*	Accuracy (CV) 92.6 Accuracy (CS) 84.1	Continual Spatio-Temporal Graph Convolutional Networks 2022-03-21	코드 1
ST-GCN-jpd	Accuracy (CV) 88.84 Accuracy (CS) 83.36	A Comparative Review of Recent Kinect-based Action Recognition Algorithms 2019-06-24	코드 1
CNN+Motion+Trans	Accuracy (CV) 89.3 Accuracy (CS) 83.2	Skeleton-based Action Recognition with Convolutional Neural Networks 2017-04-25	코드 1
IndRNN (with jpd)	Accuracy (CV) 89 Accuracy (CS) 83	A Comparative Review of Recent Kinect-based Action Recognition Algorithms 2019-06-24	코드 1
FO-GASTM	Accuracy (CV) 90.05 Accuracy (CS) 82.83	Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition 2019-07-08	연결 없음
MANs (DenseNet-161)	Accuracy (CV) 93.22 Accuracy (CS) 82.67	Memory Attention Networks for Skeleton-based Action Recognition 2018-04-23	코드 1
DM-3DCNN	Accuracy (CV) 89.5 Accuracy (CS) 82.0	3D CNNs on Distance Matrices for Human Action Recognition 2017-10-23	코드 1
Bayesian GC-LSTM	Accuracy (CV) 89.0 Accuracy (CS) 81.8	Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition 2019-10-01	연결 없음
Ind-RNN	Accuracy (CV) 88.0 Accuracy (CS) 81.8	Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN 2018-03-13	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
ST-GCN	Accuracy (CV) 88.3 Accuracy (CS) 81.5	Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition 2018-01-23	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24
HPM_RGB+HPM_3D+Traj	Accuracy (CV) 86.1 Accuracy (CS) 80.9	Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition 2017-07-04	연결 없음
ARRN-LSTM	Accuracy (CV) 88.8 Accuracy (CS) 80.7	Relational Network for Skeleton-Based Action Recognition 2018-05-07	연결 없음
EleAtt-GRU (aug.)	Accuracy (CV) 88.4 Accuracy (CS) 80.7	EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks 2019-09-03	연결 없음
Skeleton Visualization	Accuracy (CV) 87.2 Accuracy (CS) 80.0 Ensembled Modalities 4	Enhanced skeleton visualization for view invariant human action recognition 2017-08-01	연결 없음
EleAtt-GRU	Accuracy (CV) 87.1 Accuracy (CS) 79.8	Adding Attentiveness to the Neurons in Recurrent Neural Networks 2018-07-12	연결 없음
Clips+CNN+MTLN	Accuracy (CV) 84.8 Accuracy (CS) 79.6	A New Representation of Skeleton Sequences for 3D Action Recognition 2017-03-09	연결 없음
F2CSkeleton	Accuracy (CV) 84.6 Accuracy (CS) 79.6	A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition 2018-05-30	연결 없음
VA-LSTM	Accuracy (CV) 87.6 Accuracy (CS) 79.2	View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data 2017-03-24	코드 1
Skelemotion + Yang et al.	Accuracy (CV) 84.7 Accuracy (CS) 76.5	SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition 2019-07-30	코드 1
GCA-LSTM	Accuracy (CV) 84.00 Accuracy (CS) 76.10	Global Context-Aware Attention LSTM Networks for 3D Action Recognition 2017-07-01	연결 없음
SkeletonNet	Accuracy (CV) 81.2 Accuracy (CS) 75.9	Skeletonnet: Mining deep part features for 3-d action recognition 2017-03-31	연결 없음