K-Net: Towards Unified Image Segmentation

Benchmark Model Rank Results
panoptic-segmentation-on-coco-test-devK-Net (Swin-L)#7PQ: 55.2PQst: 46.2PQth: 61.2
panoptic-segmentation-on-coco-test-devK-Net (R101-FPN-DCN)#16PQ: 48.3PQst: 39.7PQth: 54
semantic-segmentation-on-ade20k-valK-Net#32mIoU: 54.3
semantic-segmentation-on-ade20kK-Net#65Validation mIoU: 54.3
instance-segmentation-on-coco-test-devK-Net-N256 (ResNet-101)#66mask AP: 40.6%AP50: 63.3APS: 18.8APM: 43.3APL: 59
instance-segmentation-on-coco-test-devK-Net (ResNet-101)#70mask AP: 40.1%AP50: 62.8APS: 18.7APM: 42.7APL: 58.8