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segmentation in the loop for recognition, hierarchical segmentation, part-to-whole recognition, vision transformer
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Learning Hierarchical Image Segmentation For Recognition and By Recognition Learning Hierarchical Image Segmentation For Recognition and By Recognition Tsung-Wei Ke* 1 Sangwoo Mo* 2 Stella Yu 1,2 1 University of California Berkeley 2 University of Michigan ICLR 2024 (spotlight) * Equal Contribution description Paper code Code science Checkpoints folder Review CAST Abstract Large vision and language models learned directly through image-text associations often lack detailed visual substantiation, whereas image segmentation tasks are treated separately from recognition, supervisedly learned without interconnections. Our key observation is that, while an image can be recognized in multiple ways, each has a consistent part-and-whole visual organization. Segmentation thus should be treated not as an end ...
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