Action Recognition on NTU RGB+D 120 (Cross-View)

96.45Accuracy

ENConvLSTM

Updated 3d ago

Evaluation Results

Method	Links
ENConvLSTM 2025.01		96.45
ST-GCN 2025.01		95.9
NAS-GCN 2025.01		95.7
2S-AGCN 2025.01		95.1
2SAGC-LSTM 2025.01		95
AS-GCN 2025.01		94.2
SR-TSL 2025.01		92.4
STGR-GCN 2025.01		92.3
DPRL 2025.01		89.8
ST-GCN 2025.01		88.3
VA-LSTM 2025.01		87.7
Deep STGCK 2025.01		86.3
TCN 2025.01		83.1
STA-LSTM 2025.01		81.2
ST-GCN + AS-GCN w/DH-TCN 2020.03		79.2
dense-IndRNN-aug 2019.10		79.18
dense-IndRNN 2019.10		77.37
IndRNN 2019.10		75.04
IndRNN 2019.10		72.05
PURLS 2024.06		71.95
AIS 2020.03		71.59
P-LSTM 2025.01		70.3
SkeleMotion 2019.10		67.7
Global 2024.06		66.96
Body Pose Evolution Map 2020.03		66.9
SkeleMotion 2020.03		66.9
Body Pose Evolution Map 2019.10		66.9
SMIE 2024.06		65.74
Dynamic Skeleton 2025.01		65.2
Two-Stream Attention LSTM 2020.03		63.3
Two-Stream Attention LSTM 2019.10		63.3
Skeleton Visualization (Single Stream) 2020.03		63.2
TSRJI 2020.03		62.8
SynSE 2024.06		62.69
Multi-Task CNN with RotClips 2020.03		61.8
DeViSE 2024.06		61.52
CADA-VAE 2024.06		59.53
GCA-LSTM et al. 2020.03		59.2
GCA-LSTM 2019.10		59.2
ReViSE 2024.06		57.92
Spatio-Temporal LSTM 2020.03		57.9
ST-LSTM 2019.10		57.9
JPOSE 2024.06		51.93
Soft RNN 2020.03		44.9
Soft RNN 2019.10		44.9
Part Aware LSTM 2020.03		26.3
Part-aware LSTM 2019.10		26.3