Object Segmentation on DIS5K VD
78.63mIoUBase Model
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Base ModelDensity=100%, Compression Type=None, Finetuning=false2026.05 | 78.63 | 1 | |
| SparseSAMDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 78.58 | 1.61 | |
| PieceWise AttentionDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 78.54 | 0.68 | |
| SparseSAMDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 78.43 | 1.73 | |
| PieceWise AttentionDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 78.38 | 0.69 | |
| SparseSAMDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 78.38 | 1.67 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=true2026.05 | 78.28 | 1.89 | |
| SpargeAttnDensity=75%, Compression Type=attention-only, Finetuning=false2026.05 | 77.61 | 1.16 | |
| SparseSAMDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 77.56 | 1.89 | |
| ToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 77.16 | 0.52 | |
| SparseSAMDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 77.13 | 1.75 | |
| SpargeAttnDensity=50%, Compression Type=attention-only, Finetuning=false2026.05 | 77.09 | 1.24 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=true2026.05 | 76.92 | 2.12 | |
| PieceWise AttentionDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 76.79 | 0.71 | |
| GradToMeDensity=75%, Compression Type=attention+MLP, Finetuning=false2026.05 | 76.58 | 0.53 | |
| SparseSAMDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 74.79 | 2.12 | |
| SpargeAttnDensity=25%, Compression Type=attention-only, Finetuning=false2026.05 | 73.48 | 1.26 | |
| ToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 69.69 | 0.81 | |
| GradToMeDensity=50%, Compression Type=attention+MLP, Finetuning=false2026.05 | 68.5 | 0.63 | |
| GradToMeDensity=25%, Compression Type=attention+MLP, Finetuning=false2026.05 | 54.97 | 0.74 |