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SotA/Medical/Semantic Segmentation/GTAV-to-Cityscapes Labels

Semantic Segmentation on GTAV-to-Cityscapes Labels

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1MIC75.9NoMIC: Masked Image Consistency for Context-Enhanc...2022-12-02Code
2HRDA + PiPa75.6NoPiPa: Pixel- and Patch-wise Self-supervised Lear...2022-11-14Code
3HRDA73.8NoHRDA: Context-Aware High-Resolution Domain-Adapt...2022-04-27Code
4SePiCo70.3NoSePiCo: Semantic-Guided Pixel Contrast for Domai...2022-04-19Code
5DAFormer + ProCST69.4YesProCST: Boosting Semantic Segmentation Using Pro...2022-04-25Code
6DAFormer68.3NoDAFormer: Improving Network Architectures and Tr...2021-11-29Code
7TransDA-B63.9NoSmoothing Matters: Momentum Transformer for Doma...2022-03-15Code
8G2L59.7No---
9ProDA+CRA58.6NoCross-Region Domain Adaptation for Class-level A...2021-09-14-
10ProDA57.5NoPrototypical Pseudo Label Denoising and Target S...2021-01-26Code
11CMFormer55.3NoLearning Content-enhanced Mask Transformer for D...2023-07-01Code
12CCM49.9No--Code