Object Segmentation on iSAID (val)
70.3mIoUSegNeXt-L
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SegNeXt-LBackbone=MSCAN-L, Test Strategy=Single-scale (SS)2022.09 | 70.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegNeXt-BBackbone=MSCAN-B, Test Strategy=Single-scale (SS)2022.09 | 69.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegNeXt-SBackbone=MSCAN-S, Test Strategy=Single-scale (SS)2022.09 | 68.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegNeXt-TBackbone=MSCAN-T, Test Strategy=Single-scale (SS)2022.09 | 68.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PFNetBackbone=ResNet50, OS=322021.03 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PointFlowBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UperNetBackbone=Swin-T, Test Strategy=Single-scale (SS)2022.09 | 64.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SFNetBackbone=ResNet50, OS=322021.03 | 64.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SFNetBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 64.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UPerNetBackbone=ResNet50, OS=322021.03 | 63.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FarSegbackbone=ResNet-502020.11 | 63.71 | 65.38 | 61.8 | 77.73 | 86.35 | 62.08 | 56.7 | 36.7 | 60.59 | 46.34 | 35.82 | 51.21 | 71.35 | 72.53 | 82.03 | 53.91 | |
| FarSegBackbone=ResNet50, OS=322021.03 | 63.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FarSegBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 63.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GSCNNBackbone=ResNe50, OS=82021.03 | 63.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GSCNNBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 63.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PointRendBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 62.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemanticFPNBackbone=ResNet50, OS=322021.03 | 62.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RANetBackbone=ResNet50, OS=82021.03 | 62.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemanticFPNBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 62.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RANetBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 62.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HRNetBackbone=HRNetW18, OS=42021.03 | 61.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HRNetBackbone=HRNetW-18, Test Strategy=Single-scale (SS)2022.09 | 61.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Deeplabv3+Backbone=ResNet50, OS=82021.03 | 61.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Deeplabv3Backbone=ResNet50, OS=82021.03 | 60.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PSPNetBackbone=ResNet50, OS=82021.03 | 60.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PSPNetBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 60.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PSPNetbackbone=ResNet-502020.11 | 60.25 | 65.2 | 52.1 | 75.7 | 85.57 | 61.12 | 60.15 | 32.46 | 58.03 | 42.96 | 10.89 | 46.78 | 68.6 | 71.9 | 79.5 | 54.26 | |
| RefineNetbackbone=ResNet-502020.11 | 60.2 | 63.8 | 58.56 | 72.31 | 85.28 | 61.09 | 52.78 | 32.63 | 58.23 | 42.36 | 22.98 | 43.4 | 65.63 | 74.42 | 79.89 | 51.1 | |
| RefineNetBackbone=ResNet50, OS=322021.03 | 60.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RefineNetBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 60.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Deeplab v3+backbone=ResNet-502020.11 | 59.33 | 59.02 | 55.15 | 75.94 | 84.18 | 58.52 | 59.24 | 32.11 | 54.54 | 33.79 | 31.14 | 44.24 | 67.51 | 73.78 | 75.7 | 45.76 | |
| Semantic FPNbackbone=ResNet-502020.11 | 59.31 | 63.68 | 59.49 | 71.75 | 86.61 | 57.78 | 51.64 | 33.99 | 59.15 | 45.14 | 0 | 46.42 | 68.71 | 73.58 | 80.83 | 51.27 | |
| Deeplab v3backbone=ResNet-502020.11 | 59.05 | 59.74 | 50.49 | 76.98 | 84.21 | 57.92 | 59.57 | 32.88 | 54.8 | 33.75 | 31.29 | 44.74 | 66.03 | 72.13 | 75.84 | 45.68 | |
| EncodingNetBackbone=ResNet50, OS=82021.03 | 58.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCNetBackbone=ResNet50, OS=82021.03 | 58.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DenseASPPBackbone=ResNet50, OS=82021.03 | 57.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DenseASPPBackbone=ResNet50, Test Strategy=Single-scale (SS)2022.09 | 57.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DenseASPPbackbone=DenseNet-1212020.11 | 56.81 | 61.15 | 50.05 | 67.54 | 86.09 | 56.56 | 52.28 | 29.61 | 57.1 | 38.44 | 0 | 43.26 | 64.8 | 74.1 | 78.12 | 51.09 | |
| EMANetBackbone=ResNet50, OS=82021.03 | 55.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FCN-8sbackbone=VGG-162020.11 | 41.66 | 51.74 | 22.91 | 26.44 | 74.81 | 30.24 | 27.85 | 8.17 | 49.35 | 37.05 | 0 | 30.74 | 51.91 | 52.07 | 62.9 | 42.02 | |
| OCNet-(ASP-OC)Backbone=ResNet50, OS=82021.03 | 40.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| U-Net2020.11 | 37.39 | 49 | 0 | 6.51 | 78.6 | 22.89 | 5.52 | 7.48 | 49.89 | 35.62 | 0 | 38.03 | 46.49 | 9.67 | 74.74 | 45.64 |