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Models/3scale ResNet152

3scale ResNet152

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

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

Computer Vision3 results

VideoonNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645

Time Series2 results

Action DetectiononNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 97.4 (DSCNet (RGB + Pose))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645

Methodology1 result

Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645

Robots1 result

Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 97.4 (DSCNet (RGB + Pose))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645

Natural Language Processing1 result

3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-19
85
best: 94.3 (Hulk(Finetune, ViT-L))
SOTA
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn arXiv:1704.05645