LightCDNet-large
Reported on 3 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology3 results
- 91.43best: 92.67 (MAE+MTP(ViT-L+RVSA))
- 84.21best: 85.76 (Changer (Ex, ResNeSt101))
- Params(M)2.82best: 335 (IMP+MTP(InternImage-XL))