ViT-L

Reported on 3 benchmarks across 1 task · 2 papers

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

Computer Vision3 results

Image ClassificationonObjectNet
Top-1 Accuracy· uses extra data· 2022-06-02
37.4
best: 82.7 (CoCa)
Optimizing Relevance Maps of Vision Transformers Improves Robustness arXiv:2206.01161
Image ClassificationonObjectNet
Top-5 Accuracy· uses extra data· 2022-06-02
59.5
best: 82.1 (ViT-H/14)
Optimizing Relevance Maps of Vision Transformers Improves Robustness arXiv:2206.01161
Image ClassificationonImageNet
GFLOPs· 2022-04-14
191.2
best: 1478 (InternImage-H)
DeiT III: Revenge of the ViT arXiv:2204.07118