CLIPer reaches state-of-the-art training-free open-vocabulary segmentation by combining early-layer CLIP attention averaging with Stable Diffusion attention refinement.
Learn- ing to generate text-grounded mask for open-world semantic segmentation from only image-text pairs
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CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation
CLIPer reaches state-of-the-art training-free open-vocabulary segmentation by combining early-layer CLIP attention averaging with Stable Diffusion attention refinement.