Object Segmentation on ThinObject5K (test)
89.58mIoUSparseSAM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SparseSAMDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 89.58 | 1.55 | |
| Base ModelDensity=100%, Compression Type=None, Finetuning=false2026.05 | 89.56 | 1 | |
| PieceWise AttentionDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 89.49 | 0.67 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=true2026.05 | 89.41 | 1.88 | |
| SparseSAMDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 89.4 | 1.61 | |
| ToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 89.38 | 0.52 | |
| SpargeAttnDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 89.26 | 1.15 | |
| PieceWise AttentionDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 89.26 | 0.7 | |
| SparseSAMDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 89.21 | 1.7 | |
| GradToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 89 | 0.55 | |
| SpargeAttnDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 88.76 | 1.25 | |
| SparseSAMDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 88.68 | 1.68 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=true2026.05 | 88.05 | 2.08 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 87.82 | 1.88 | |
| PieceWise AttentionDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 87.74 | 0.72 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 85.95 | 2.08 | |
| SpargeAttnDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 84.94 | 1.24 | |
| ToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 84.17 | 0.81 | |
| GradToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 82.42 | 0.64 | |
| GradToMeDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 69.76 | 0.75 |