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SotA/Medical/Semantic Segmentation/Mapillary val

Semantic Segmentation on Mapillary val

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1AO-SegNet76No--Code
2OneFormer (DiNAT-L, multi-scale)64.9NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
3Mask2Former (Swin-L, multiscale)64.7NoMasked-attention Mask Transformer for Universal ...2021-12-02Code
4OneFormer (DiNAT-L, single-scale)61.7NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
5OneFormer (ConvNeXt-L, single-scale)61.6NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
6Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)60NoScaling Wide Residual Networks for Panoptic Segm...2020-11-23-
7Axial-DeepLab-L (multi-scale)58.4NoAxial-DeepLab: Stand-Alone Axial-Attention for P...2020-03-17Code
8AdaptIS (ResNeXt-101)56.8NoAdaptIS: Adaptive Instance Selection Network2019-09-17-
9MaskFormer (ResNet-50)55.4NoPer-Pixel Classification is Not All You Need for...2021-07-13Code
10NiseNet48.32No--Code
11MRFP+(Ours) Resnet5044.93NoMRFP: Learning Generalizable Semantic Segmentati...2023-11-30Code
12SegBlocks-RN50 (t=0.4)39.7NoSegBlocks: Block-Based Dynamic Resolution Networ...2020-11-24Code
13Resnet5032.93NoMRFP: Learning Generalizable Semantic Segmentati...2023-11-30Code