Object Segmentation on COIFT
94.55mIoUBase Model
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Base ModelDensity=100%, Compression Type=None, Finetuning=false2026.05 | 94.55 | 1 | |
| PieceWise AttentionDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 94.51 | 0.67 | |
| SparseSAMDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 94.49 | 1.5 | |
| SparseSAMDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 94.44 | 1.56 | |
| GradToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 94.37 | 0.54 | |
| ToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 94.36 | 0.51 | |
| PieceWise AttentionDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 94.25 | 0.71 | |
| SpargeAttnDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 94.12 | 1.14 | |
| SparseSAMDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 94.12 | 1.64 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=true2026.05 | 93.97 | 1.81 | |
| SpargeAttnDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 93.92 | 1.23 | |
| SparseSAMDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 93.83 | 1.63 | |
| PieceWise AttentionDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 93.37 | 0.7 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 93.12 | 1.81 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=true2026.05 | 93.01 | 2.02 | |
| GradToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 92.17 | 0.64 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 91.79 | 2.02 | |
| SpargeAttnDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 91.67 | 1.25 | |
| ToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 90.33 | 0.81 | |
| GradToMeDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 75.22 | 0.75 |