ViT-B/32

Reported on 4 benchmarks across 2 tasks · 2 papers · 3 SOTA

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

Medical3 results

COVID-19 DiagnosisonCOVID-19 CXR Dataset
Average F1· 2021-10-09
0.946
SOTA
Vision Transformer based COVID-19 Detection using Chest X-rays arXiv:2110.04458
COVID-19 DiagnosisonCOVID-19 CXR Dataset
Average Precision· 2021-10-09
0.953
SOTA
Vision Transformer based COVID-19 Detection using Chest X-rays arXiv:2110.04458
COVID-19 DiagnosisonCOVID-19 CXR Dataset
Average Recall· 2021-10-09
0.938
SOTA
Vision Transformer based COVID-19 Detection using Chest X-rays arXiv:2110.04458

Computer Vision1 result

Image ClassificationonObjectNet
Top-1 Accuracy· uses extra data· 2021-08-12
48.4
best: 82.7 (CoCa)
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations arXiv:2108.05887