Semantic Segmentation on Cityscapes 11 (val)
80.8mIoUAdapNet++
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AdapNet++input image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 80.8 | 94.18 | 91.49 | 97.93 | 84.4 | 54.98 | 92.09 | 58.85 | 93.86 | 72.61 | 75.52 | 72.9 | |
| AdapNetinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 77.56 | 92.45 | 89.98 | 97.43 | 81.43 | 49.93 | 91.44 | 53.43 | 92.23 | 65.32 | 69.86 | 69.62 | |
| DeepLab v3input image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 75.21 | 92.82 | 89.02 | 96.74 | 78.13 | 41 | 90.81 | 49.74 | 91.02 | 64.48 | 66.52 | 66.98 | |
| ParseNetinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 69.28 | 77.57 | 86.81 | 95.27 | 74.02 | 33.31 | 87.37 | 38.24 | 88.99 | 53.34 | 63.25 | 63.87 | |
| FastNetinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 68.52 | 77.69 | 86.25 | 94.97 | 72.99 | 31.02 | 88.06 | 38.34 | 88.42 | 52.34 | 61.76 | 61.83 | |
| DeepLab v2input image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 63.59 | 74.28 | 81.66 | 90.86 | 63.3 | 26.29 | 84.33 | 27.96 | 86.24 | 44.79 | 58.89 | 60.92 | |
| DeconvNetinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 62.02 | 89.38 | 83.08 | 95.26 | 68.07 | 27.58 | 85.8 | 34.2 | 85.01 | 27.62 | 45.11 | 41.11 | |
| FCN-8sinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 59.97 | 76.51 | 83.97 | 93.82 | 67.67 | 24.91 | 86.38 | 31.71 | 84.8 | 50.92 | 59.89 | 59.11 | |
| SegNetinput image dimension=768 x 384, left-right flips=false, multiscale testing=false2018.08 | 52.17 | 73.74 | 79.29 | 92.7 | 59.88 | 13.63 | 81.89 | 26.18 | 78.83 | 31.44 | 45.03 | 43.46 | |
| Osprey-7BType=Mask2023.12 | 49.78 | — | — | — | — | — | — | — | — | — | — | — | |
| Ferret-7BType=Mask2023.12 | 38.4 | — | — | — | — | — | — | — | — | — | — | — | |
| GPT4RoI-7BType=Box2023.12 | 36.73 | — | — | — | — | — | — | — | — | — | — | — | |
| CLIP-ConvNeXt-LType=Mask2023.12 | 23.06 | — | — | — | — | — | — | — | — | — | — | — | |
| CLIP-Surgery-ViT-LType=Mask2023.12 | 21.92 | — | — | — | — | — | — | — | — | — | — | — | |
| Shikra-7BType=Box2023.12 | 17.77 | — | — | — | — | — | — | — | — | — | — | — | |
| Kosmos-2Type=Box2023.12 | 13.71 | — | — | — | — | — | — | — | — | — | — | — |