TubeVit-B (ImageNet-1k)

Reported on 3 benchmarks across 1 task · 1 paper

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

Computer Vision3 results

VideoonKinetics-400
Acc@1· 2022-12-06
88.6
best: 93.6 (OmniVec2)
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning arXiv:2212.03229
VideoonKinetics-400
Acc@5· 2022-12-06
97.6
best: 98.9 (TubeViT-H (ImageNet-1k))
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning arXiv:2212.03229
VideoonKinetics-400
Parameters (M)· 2022-12-06
86
best: 632 (TubeViT-H (ImageNet-1k))
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning arXiv:2212.03229