Instance Segmentation on COCO (APm)
45APmFull-Precision
Evaluation Results
| Method | Links | |
|---|---|---|
| Full-PrecisionMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=32/322025.04 | 45 | |
| Full-PrecisionMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=32/322025.04 | 43.7 | |
| DopQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=TanQ2025.04 | 43.7 | |
| APHQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 43.7 | |
| ERQMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 43.6 | |
| I&S-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=SULQ2025.04 | 43.6 | |
| Full-PrecisionMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=32/322025.04 | 43.3 | |
| RepQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 43.1 | |
| APHQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 42.7 | |
| QDropMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 42.5 | |
| ERQMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 42.1 | |
| DopQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=TanQ2025.04 | 42.1 | |
| I&S-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=SULQ2025.04 | 42 | |
| Full-PrecisionMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=32/322025.04 | 41.6 | |
| BaselineMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=Uniform2025.04 | 41.6 | |
| QDropMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 41.3 | |
| RepQ-ViTMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 41.1 | |
| APHQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 41 | |
| ERQMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 40.7 | |
| DopQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=TanQ2025.04 | 40.4 | |
| I&S-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=SULQ2025.04 | 40.3 | |
| BaselineMeta-Architecture=Cascade Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=Uniform2025.04 | 40.2 | |
| RepQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 40.2 | |
| QDropMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 39.2 | |
| BaselineMeta-Architecture=Mask R-CNN, Backbone=Swin-S, W/A=4/4, Optimization=false, Quantizer=Uniform2025.04 | 38.6 | |
| APHQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 38.1 | |
| ERQMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 36.6 | |
| I&S-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=SULQ2025.04 | 36.6 | |
| DopQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=TanQ2025.04 | 36.5 | |
| RepQ-ViTMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=log √22025.04 | 36 | |
| QDropMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=true, Quantizer=Uniform2025.04 | 35.4 | |
| BaselineMeta-Architecture=Mask R-CNN, Backbone=Swin-T, W/A=4/4, Optimization=false, Quantizer=Uniform2025.04 | 34.2 |