Changer (Ex, ResNeSt50)
Reported on 4 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology2 results
- F1· 2022-09-1792.19best: 92.67 (MAE+MTP(ViT-L+RVSA))
- IoU· 2022-09-1785.51best: 85.76 (Changer (Ex, ResNeSt101))
Computer Vision2 results
- F1· 2022-09-1792.19best: 92.87 (SChanger-base)
- IoU· 2022-09-1785.51best: 93.69 (C2FNet)