MAWS (ViT-L)

Reported on 2 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.

Robots1 result

Activity RecognitiononSomething-Something V2
Top-1 Accuracy· uses extra data· 2023-03-23
74.4
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
The effectiveness of MAE pre-pretraining for billion-scale pretraining arXiv:2303.13496

Time Series1 result

Action RecognitiononSomething-Something V2
Top-1 Accuracy· uses extra data· 2023-03-23
74.4
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
The effectiveness of MAE pre-pretraining for billion-scale pretraining arXiv:2303.13496