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Models/Selective HAR Clustering

Selective HAR Clustering

Reported on 8 benchmarks across 4 tasks · 1 paper · 7 SOTA

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

Time Series4 results

Action DetectiononPAMAP2
ARI· 2022-09-17
0.814
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335
Action DetectiononPAMAP2
NMI· 2022-09-17
0.884
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335
Human Activity RecognitiononPAMAP2
ARI· 2022-09-17
0.814
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335
Human Activity RecognitiononPAMAP2
NMI· 2022-09-17
0.884
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335

Robots2 results

Activity RecognitiononPAMAP2
ARI· 2022-09-17
0.814
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335
Activity RecognitiononPAMAP2
NMI· 2022-09-17
0.884
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335

Computer Vision2 results

Image ClusteringonHAR
NMI· 2022-09-17
0.76
best: 0.807 (FCMI)
SOTA
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335
Image ClusteringonHAR
Accuracy· 2022-09-17
0.753
best: 0.882 (FCMI)
Efficient Deep Clustering of Human Activities and How to Improve Evaluation arXiv:2209.08335