ViTDet (ViT-H)

Reported on 5 benchmarks across 5 tasks · 1 paper

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

Methodology4 results

3DonCOCO-O
Effective Robustness· 2022-03-30
7.89
best: 28.86 (EVA)
Exploring Plain Vision Transformer Backbones for Object Detection arXiv:2203.16527
2D ClassificationonCOCO-O
Effective Robustness· 2022-03-30
7.89
best: 28.86 (EVA)
Exploring Plain Vision Transformer Backbones for Object Detection arXiv:2203.16527
2D Object DetectiononCOCO-O
Effective Robustness· 2022-03-30
7.89
best: 28.86 (EVA)
Exploring Plain Vision Transformer Backbones for Object Detection arXiv:2203.16527
16konCOCO-O
Effective Robustness· 2022-03-30
7.89
best: 28.86 (EVA)
Exploring Plain Vision Transformer Backbones for Object Detection arXiv:2203.16527

Computer Vision1 result

Object DetectiononCOCO-O
Effective Robustness· 2022-03-30
7.89
best: 28.86 (EVA)
Exploring Plain Vision Transformer Backbones for Object Detection arXiv:2203.16527