DeiT-S (Opt Relevance)

Reported on 2 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 Vision2 results

Image ClassificationonObjectNet
Top-1 Accuracy· uses extra data· 2022-06-02
31.6
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
53
best: 82.1 (ViT-H/14)
Optimizing Relevance Maps of Vision Transformers Improves Robustness arXiv:2206.01161