Self-Supervised Learning with Swin Transformers

Benchmark Model Rank Results
self-supervised-image-classification-on-imagenetMoBY (Swin-T)#71Top 1 Accuracy: 75%Number of Params: 29M
self-supervised-image-classification-on-imagenetMoBY (DeiT-S)#87Top 1 Accuracy: 72.8%Number of Params: 22M
semantic-segmentation-on-ade20kSwin-T (UPerNet) MoBY#200Validation mIoU: 45.58