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SotA/Computer Vision/Unsupervised Semantic Segmentation/Cityscapes test

Unsupervised Semantic Segmentation on Cityscapes test

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1ViCE84.3NoViCE: Improving Dense Representation Learning by...2021-11-24Code
2CUPS83.2NoScene-Centric Unsupervised Panoptic Segmentation2025-04-02Code
3EAGLE (DINO, ViT-S/8)81.8NoEAGLE: Eigen Aggregation Learning for Object-Cen...2024-03-03Code
4PriMaPs-EM (DINO ViT-S/8)81.2NoBoosting Unsupervised Semantic Segmentation with...2024-04-25Code
5HP80.1NoLeveraging Hidden Positives for Unsupervised Sem...2023-03-27Code
6EQUSS79.9NoExpand-and-Quantize: Unsupervised Semantic Segme...2023-12-12-
7EAGLE (DINO, ViT-B/8)79.4NoEAGLE: Eigen Aggregation Learning for Object-Cen...2024-03-03Code
8PriMaPs-EM + STEGO (DINO ViT-B/8)78.6NoBoosting Unsupervised Semantic Segmentation with...2024-04-25Code
9STEGO73.2NoUnsupervised Semantic Segmentation by Distilling...2022-03-16Code
10PiCIE65.5NoPiCIE: Unsupervised Semantic Segmentation using ...2021-03-30Code
11MDC40.7NoDeep Clustering for Unsupervised Learning of Vis...2018-07-15Code