ChangeFormer
Reported on 5 benchmarks across 2 tasks · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision3 results
- Overall Accuracy· 2022-01-04SOTA99.04best: 99.2 (TTP)
- F1· 2022-01-0490.4best: 92.87 (SChanger-base)
- IoU· 2022-01-0482.48best: 93.69 (C2FNet)
Methodology2 results
- F1· 2022-01-0490.4best: 92.67 (MAE+MTP(ViT-L+RVSA))
- IoU· 2022-01-0482.48best: 85.76 (Changer (Ex, ResNeSt101))