Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Benchmark Model Rank Results
unsupervised-semantic-segmentation-on-cityscapesPriMaPs-EM + STEGO (DINO ViT-B/8)#4mIoU: 21.6Accuracy: 78.6
unsupervised-semantic-segmentation-on-cityscapesPriMaPs-EM (DINO ViT-S/8)#7mIoU: 19.4Accuracy: 81.2
unsupervised-semantic-segmentation-on-coco-stuff-27PriMaPs+STEGO (DINO ViT-B/8)#6Clustering [mIoU]: 29.7Clustering [Accuracy]: 57.9
unsupervised-semantic-segmentation-on-coco-stuff-27PriMaPs+HP (DINO ViT-S/8)#12Clustering [mIoU]: 25.1Clustering [Accuracy]: 57.8
unsupervised-semantic-segmentation-on-potsdam-3PriMaPs-EM+HP (DINO ViT-B/8)#2Accuracy: 83.3mIoU: 71.0
unsupervised-semantic-segmentation-on-potsdam-3PriMaPs-EM (DINO ViT-B/8)#4Accuracy: 80.5mIoU: 67.0