Semantic Segmentation on ISBI 2012
80.53mIoUGSAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GSAMImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=true2024.08 | 80.53 | — | — | |
| GSAMMACs(G)=270.33, Params(M)=168.35, Input Resolution=256 x 2562026.05 | 80.52 | — | — | |
| SM-AdaptFormerImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false2024.08 | 80.48 | — | — | |
| AdaptFormerImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false2024.08 | 80.46 | — | — | |
| U-NetImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=true2024.08 | 80.01 | — | — | |
| ConvLoRAImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false2024.08 | 79.87 | — | — | |
| SAMUSMACs(G)=145.87, Params(M)=130.10, Input Resolution=256 x 2562026.05 | 79.75 | — | — | |
| LoRAImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false2024.08 | 79.18 | — | — | |
| SAMUSImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false, Input image size=256 × 2562024.08 | 78.64 | — | — | |
| DeepLabv3+Image type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=true2024.08 | 78.47 | — | — | |
| HP-AdapterMACs(G)=18.24, Params(M)=81.93, Input Resolution=256 x 2562026.05 | 77.51 | — | — | |
| LW-AdapterMACs(G)=17.58, Params(M)=79.61, Input Resolution=256 x 2562026.05 | 77.04 | — | — | |
| AdaptFormerMACs(G)=16.89, Params(M)=76.34, Input Resolution=256 x 2562026.05 | 73.3 | — | — | |
| SAMImage type=Biological, Class=2, Image size=256 × 256, Random crop=128 × 128, Random cropping applied=false2024.08 | 72.15 | — | — | |
| SM-AdaptFormerMACs(G)=19.67, Params(M)=89.74, Input Resolution=256 x 2562026.05 | 71.44 | — | — | |
| SAMMACs(G)=371.98, Params(M)=90.49, Input Resolution=1024 x 10242026.05 | 71.27 | — | — | |
| Feedback Former2024.08 | 70.84 | 56.45 | 85.22 | |
| Feedback AttentionMode=Self Attention (Self)2024.08 | 69.06 | 54.23 | 83.9 | |
| AttentionFormer-S122024.08 | 67.93 | 52.65 | 83.22 | |
| Feedback AttentionMode=Source-Target Attention (ST)2024.08 | 66.43 | 50.44 | 82.43 | |
| SAM2MACs(G)=16.27, Params(M)=73.43, Input Resolution=256 x 2562026.05 | 57.85 | — | — |