Scene-Centric Unsupervised Panoptic Segmentation

Benchmark Model Rank Results
unsupervised-panoptic-segmentation-on-bdd100kCUPS (40 pseudo-classes)#1PQ: 21.9
unsupervised-panoptic-segmentation-on-bdd100kCUPS (54 pseudo-classes)#2PQ: 21.8
unsupervised-panoptic-segmentation-on-bdd100kCUPS (27 pseudo-classes)#3PQ: 19.9
unsupervised-panoptic-segmentation-on-cityscapesCUPS (54 pseudo-classes)#1PQ: 30.6
unsupervised-panoptic-segmentation-on-cityscapesCUPS (40 pseudo-classes)#2PQ: 30.3
unsupervised-panoptic-segmentation-on-cityscapesCUPS (27 pseudo-classes)#3PQ: 27.8
unsupervised-panoptic-segmentation-on-kittiCUPS (54 pseudo-classes)#1PQ: 28.5
unsupervised-panoptic-segmentation-on-kittiCUPS (40 pseudo-classes)#2PQ: 28.1
unsupervised-panoptic-segmentation-on-kittiCUPS (27 pseudo-classes)#3PQ: 25.5
unsupervised-panoptic-segmentation-on-musesCUPS (40 pseudo-classes)#1PQ: 28.2
unsupervised-panoptic-segmentation-on-musesCUPS (27 pseudo-classes)#2PQ: 24.4
unsupervised-panoptic-segmentation-on-musesCUPS (54 pseudo-classes)#3PQ: 22.8
unsupervised-panoptic-segmentation-on-waymoCUPS (54 pseudo-classes)#1PQ: 27.3
unsupervised-panoptic-segmentation-on-waymoCUPS (40 pseudo-classes)#2PQ: 27.2
unsupervised-panoptic-segmentation-on-waymoCUPS (27 pseudo-classes)#3PQ: 26.4
unsupervised-semantic-segmentation-on-cityscapesCUPS#1mIoU: 26.8Accuracy: 83.2