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Models/Prob-Distill

Prob-Distill

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Robots4 results

Activity RecognitiononHMDB-51
Average accuracy of 3 splits· 2019-04-05
72
best: 88.7 (VideoMAE V2-g)
Attention Distillation for Learning Video Representations arXiv:1904.03249
Activity RecognitiononSomething-Something V2
Top-1 Accuracy· 2019-04-05
49.9
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Attention Distillation for Learning Video Representations arXiv:1904.03249
Activity RecognitiononSomething-Something V2
Top-5 Accuracy· 2019-04-05
79.1
best: 96.3 (DejaVid)
Attention Distillation for Learning Video Representations arXiv:1904.03249
Activity RecognitiononUCF101
3-fold Accuracy· 2019-04-05
95.7
best: 99.7 (FTP-UniFormerV2-L/14)
Attention Distillation for Learning Video Representations arXiv:1904.03249

Time Series4 results

Action RecognitiononHMDB-51
Average accuracy of 3 splits· 2019-04-05
72
best: 88.7 (VideoMAE V2-g)
Attention Distillation for Learning Video Representations arXiv:1904.03249
Action RecognitiononSomething-Something V2
Top-1 Accuracy· 2019-04-05
49.9
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Attention Distillation for Learning Video Representations arXiv:1904.03249
Action RecognitiononSomething-Something V2
Top-5 Accuracy· 2019-04-05
79.1
best: 96.3 (DejaVid)
Attention Distillation for Learning Video Representations arXiv:1904.03249
Action RecognitiononUCF101
3-fold Accuracy· 2019-04-05
95.7
best: 99.7 (FTP-UniFormerV2-L/14)
Attention Distillation for Learning Video Representations arXiv:1904.03249