Image Segmentation on Carvana
99.4IoUU-Net (Full Precision)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| U-Net (Full Precision)Weights=Full Precision, Activations=Full Precision2026.01 | 99.4 | 99.7 | 99.7 | — | |
| U-Net (INT8)Weights=INT8, Activations=Binary2026.01 | 98.7 | 99.4 | 99.4 | — | |
| U-Net (INT4)Weights=INT4, Activations=Binary2026.01 | 97.9 | 98.9 | 98.9 | — | |
| MBU-NetWeights=Ternary (Masked), Activations=Binary2026.01 | 96.3 | 98.1 | 98.1 | — | |
| UNetFoundation Model=UNet, Size (MB)=51.5, W/A bits=32/322026.03 | 95.87 | — | — | 99.52 | |
| UNet++Foundation Model=UNet++, Size (MB)=9.2, W/A bits=32/322026.03 | 95.62 | — | — | 99.01 | |
| R2UNetFoundation Model=R2UNet, Size (MB)=39.1, W/A bits=32/322026.03 | 95.41 | — | — | 99.08 | |
| Big2SmallFoundation Model=UNet, Size (MB)=22.9, W/A bits=32/32, Variant=32bit2026.03 | 95.32 | — | — | 99.07 | |
| Big2SmallFoundation Model=UNet, Size (MB)=11.5, W/A bits=16/16, Variant=16bit2026.03 | 94.86 | — | — | 98.75 | |
| RieMFoundation Model=UNet, Size (MB)=25.8, W/A bits=16/162026.03 | 94.67 | — | — | 98.52 | |
| Big2SmallFoundation Model=R2UNet, Size (MB)=13.0, W/A bits=16/16, Variant=16bit2026.03 | 94.59 | — | — | 96.12 | |
| Big2SmallFoundation Model=R2UNet, Size (MB)=26.1, W/A bits=32/32, Variant=32bit2026.03 | 94.35 | — | — | 97.95 | |
| RieMFoundation Model=R2UNet, Size (MB)=19.6, W/A bits=16/162026.03 | 93.53 | — | — | 97.12 | |
| Big2SmallFoundation Model=UNet++, Size (MB)=6.1, W/A bits=32/32, Variant=32bit2026.03 | 93.24 | — | — | 98.01 | |
| Big2SmallFoundation Model=UNet++, Size (MB)=3.1, W/A bits=16/16, Variant=16bit2026.03 | 92.74 | — | — | 95.11 | |
| RieMFoundation Model=UNet++, Size (MB)=4.6, W/A bits=16/162026.03 | 90.35 | — | — | 97.15 | |
| U-Net (Binary)Weights=Binary, Activations=Binary2026.01 | 53 | 66.2 | 69.3 | — |