AS-CAL

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots2 results

Activity RecognitiononNTU RGB+D 120
xset (%)· 2020-08-01
49.2
best: 71.7 (CMCS)
SOTA
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition arXiv:2008.00188
Activity RecognitiononNTU RGB+D 120
xsub (%)· 2020-08-01
48.6
best: 68.5 (CMCS)
SOTA
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition arXiv:2008.00188

Time Series2 results

Action RecognitiononNTU RGB+D 120
xset (%)· 2020-08-01
49.2
best: 71.7 (CMCS)
SOTA
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition arXiv:2008.00188
Action RecognitiononNTU RGB+D 120
xsub (%)· 2020-08-01
48.6
best: 68.5 (CMCS)
SOTA
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition arXiv:2008.00188