MPAE discovers object parts by filling randomly masked image patches with learned part descriptors and then restoring the image, reporting state-of-the-art unsupervised part discovery on four benchmarks.
An empiri- cal study of training self-supervised vision transformers
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Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints
MPAE discovers object parts by filling randomly masked image patches with learned part descriptors and then restoring the image, reporting state-of-the-art unsupervised part discovery on four benchmarks.