Extract Free Dense Labels from CLIP

Benchmark Model Rank Results
unsupervised-semantic-segmentation-with-language-image-pre-training-on-kitti-stepDenseCLIP#3mIoU: 15.3pixel accuracy: 34.1
semantic-segmentation-on-cc3m-tagmaskMaskCLIP#4mIoU: 41.0
unsupervised-semantic-segmentation-with-language-image-pre-training-on-coco-stuff-27DenseCLIP#4mIoU: 19.6pixel accuracy: 32.2
zero-shot-segmentation-on-ade20k-training-freeMaskCLIP#5mIoU: 10.2
zero-shot-semantic-segmentation-on-coco-stuffMaskCLIP+#5Transductive Setting hIoU: 45.0
zero-shot-semantic-segmentation-on-pascal-vocMaskCLIP+#5Transductive Setting hIoU: 87.4
open-vocabulary-panoptic-segmentation-on-ade20kMaskCLIP#10PQ: 15.1
unsupervised-semantic-segmentation-with-language-image-pre-training-on-pascal-context-59MaskCLIP#10mIoU: 26.4
unsupervised-semantic-segmentation-with-language-image-pre-training-on-pascal-vocMaskCLIP#11mIoU: 29.3
unsupervised-semantic-segmentation-with-language-image-pre-training-on-pascalvoc-20MaskCLIP#11mIoU: 74.9
unsupervised-semantic-segmentation-with-language-image-pre-training-on-cityscapes-valMaskCLIP#12mIoU: 10.0pixel accuracy: 35.9
unsupervised-semantic-segmentation-with-language-image-pre-training-on-coco-objectMaskCLIP#12mIoU: 20.6
unsupervised-semantic-segmentation-with-language-image-pre-training-on-coco-stuff-171MaskCLIP#12mIoU: 16.4
unsupervised-semantic-segmentation-with-language-image-pre-training-on-ade20kMaskCLIP#13Mean IoU (val): 9.8