A VAE trained on normalized distance matrices of object contours yields shape descriptors invariant to similarity transforms and point re-indexing, and these descriptors improve downstream shape classification.
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ShapeEmbed: a self-supervised learning framework for 2D contour quantification
A VAE trained on normalized distance matrices of object contours yields shape descriptors invariant to similarity transforms and point re-indexing, and these descriptors improve downstream shape classification.