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Models/MVD (Kinetics400 pretrain, ViT-S, 16 frame)

MVD (Kinetics400 pretrain, ViT-S, 16 frame)

Reported on 6 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.

Robots3 results

Activity RecognitiononSomething-Something V2
Parameters· uses extra data· 2022-12-08
22
best: 2131 (InternVideo2-6B)
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500
Activity RecognitiononSomething-Something V2
Top-1 Accuracy· uses extra data· 2022-12-08
70.9
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500
Activity RecognitiononSomething-Something V2
Top-5 Accuracy· uses extra data· 2022-12-08
92.8
best: 96.3 (DejaVid)
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500

Time Series3 results

Action RecognitiononSomething-Something V2
Parameters· uses extra data· 2022-12-08
22
best: 2131 (InternVideo2-6B)
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500
Action RecognitiononSomething-Something V2
Top-1 Accuracy· uses extra data· 2022-12-08
70.9
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500
Action RecognitiononSomething-Something V2
Top-5 Accuracy· uses extra data· 2022-12-08
92.8
best: 96.3 (DejaVid)
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning arXiv:2212.04500