Semantic Segmentation on COCO-EA
94mRDeepLabV3+
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepLabV3+Backbone=ResNet502026.03 | 94 | — | — | — | — | — | — | 22.07 | 20.67 | 19.64 | 21.45 | 20.8 | |
| PSPNetBackbone=ResNet502026.03 | 93 | — | — | — | — | — | — | 22.18 | 20.89 | 19.75 | 21.44 | 20.87 | |
| OVSegBackbone=Swin-B2026.03 | 92 | 49.64 | 48.4 | 47.27 | 46.22 | 42.7 | 41.27 | — | — | — | — | — | |
| GCNetBackbone=ResNet502026.03 | 92 | — | — | — | — | — | — | 22.78 | 21.11 | 19.46 | 21.74 | 21.36 | |
| SegmenterBackbone=ViT-B/162026.03 | 92 | — | — | — | — | — | — | 23.65 | 22.02 | 19.71 | 22.81 | 22.15 | |
| ODISEBackbone=SD-1.52026.03 | 92 | — | — | — | — | — | — | 23.45 | 21.59 | 20.07 | 22.7 | 21.93 | |
| SegmenterBackbone=ViT-B/162026.03 | 91 | 46.93 | 46.38 | 45.28 | 42.64 | 41.75 | 39.39 | — | — | — | — | — | |
| CATSegBackbone=Swin-B2026.03 | 91 | 50.99 | 50.62 | 49.2 | 48.33 | 44.56 | 42.8 | — | — | — | — | — | |
| Mask2FormerBackbone=Swin-B2026.03 | 91 | — | — | — | — | — | — | 21.81 | 19.93 | 18.73 | 20.7 | 19.64 | |
| OVSegBackbone=Swin-B2026.03 | 91 | — | — | — | — | — | — | 23.42 | 21.48 | 19.82 | 22.45 | 21.54 | |
| X-DecoderBackbone=Focal-T2026.03 | 90 | 50.12 | 49.15 | 47.46 | 44.5 | 43.85 | 41.96 | — | — | — | — | — | |
| SEEMBackbone=Focal-T2026.03 | 90 | 49.72 | 48.94 | 46.92 | 43.92 | 41.81 | 42.82 | — | — | — | — | — | |
| SegFormerBackbone=MIT-B32026.03 | 90 | — | — | — | — | — | — | 22.95 | 21.67 | 19.03 | 21.39 | 20.54 | |
| MaskFormerBackbone=Swin-B2026.03 | 90 | — | — | — | — | — | — | 22.79 | 21.02 | 19.47 | 21.77 | 19.98 | |
| X-DecoderBackbone=Focal-T2026.03 | 90 | — | — | — | — | — | — | 28.26 | 25.53 | 23.81 | 26.59 | 25.58 | |
| CATSegBackbone=Swin-B2026.03 | 90 | — | — | — | — | — | — | 23.15 | 21.14 | 19.72 | 21.92 | 21.11 | |
| SEEMBackbone=Focal-T2026.03 | 90 | — | — | — | — | — | — | 27.38 | 25.45 | 22.98 | 25.62 | 24.86 | |
| ODISEBackbone=SD-1.52026.03 | 89 | 48.31 | 47.79 | 46.59 | 43.06 | 40.01 | 41.55 | — | — | — | — | — | |
| OCRNetBackbone=HRNet482026.03 | 89 | — | — | — | — | — | — | 23.03 | 21.22 | 19.5 | 21.01 | 20.68 | |
| SegFormerBackbone=MIT-B32026.03 | 87 | 43.1 | 42.69 | 40.07 | 38.5 | 37.49 | 34.2 | — | — | — | — | — | |
| MaskFormerBackbone=Swin-B2026.03 | 87 | 43.66 | 43.07 | 41.23 | 39.27 | 36.52 | 33.41 | — | — | — | — | — | |
| DeepLabV3Backbone=ResNet502026.03 | 85 | 36.98 | 36.25 | 33.68 | 30.68 | 31.28 | 28.27 | — | — | — | — | — | |
| Mask2FormerBackbone=Swin-B2026.03 | 85 | 45.77 | 45.06 | 41.64 | 38.6 | 38.52 | 34.54 | — | — | — | — | — | |
| PSPNetBackbone=ResNet502026.03 | 84 | 36.2 | 35.54 | 32.8 | 29.62 | 30.25 | 27.23 | — | — | — | — | — | |
| OCRNetBackbone=HRNet482026.03 | 82 | 40.55 | 39.74 | 37.69 | 33.94 | 30.04 | 29.16 | — | — | — | — | — | |
| GCNetBackbone=ResNet502026.03 | 80 | 37.59 | 37 | 35.07 | 29.65 | 28.34 | 26.03 | — | — | — | — | — |