| panoptic-segmentation-on-ade20k-val | kMaX-DeepLab (ConvNeXt-L, single-scale, 1281x1281) | #10 | PQ: 50.9mIoU: 55.2 |
| panoptic-segmentation-on-ade20k-val | kMaX-DeepLab (ConvNeXt-L, single-scale, 641x641) | #17 | PQ: 48.7mIoU: 54.8 |
| panoptic-segmentation-on-ade20k-val | kMaX-DeepLab (ResNet50, single-scale, 1281x1281) | #20 | PQ: 42.3mIoU: 45.3 |
| panoptic-segmentation-on-ade20k-val | kMaX-DeepLab (ResNet50, single-scale, 641x641) | #21 | PQ: 41.5mIoU: 45.0 |
| panoptic-segmentation-on-cityscapes-test | kMaX-DeepLab (single-scale) | #4 | PQ: 66.2 |
| panoptic-segmentation-on-cityscapes-val | kMaX-DeepLab (single-scale) | #5 | PQ: 68.4mIoU: 83.5AP: 44.0 |
| panoptic-segmentation-on-coco-minival | kMaX-DeepLab (single-scale, pseudo-labels) | #11 | PQ: 58.1PQst: 48.8PQth: 64.3 |
| panoptic-segmentation-on-coco-minival | kMaX-DeepLab (single-scale, drop query with 256 queries) | #13 | PQ: 58.0PQst: 48.6PQth: 64.2 |
| panoptic-segmentation-on-coco-minival | kMaX-DeepLab (single-scale) | #16 | PQ: 57.9PQst: 48.6PQth: 64.0 |
| panoptic-segmentation-on-coco-test-dev | kMaX-DeepLab (single-scale) | #2 | PQ: 58.5PQst: 49.0PQth: 64.8 |
| semantic-segmentation-on-cityscapes | kMaX-DeepLab (ConvNeXt-L, fine only) | #16 | Mean IoU (class): 83.2% |