Reviews: Unsupervised learning of object frames by dense equivariant image labelling
–Neural Information Processing Systems
Blue565 Unsupervised object learning from dense equivariant image labelling An impressive paper, marred by flaws in exposition, all fixable. The aim is to construct an object representation from multiple images, with dense labelling functions (from image to object), without supervision. Experiments seem to be very successful, though the paper would be improved by citing (somewhat) comparable numerical results on the MAFL dataset. The method is conceptually simple, which is a plus. The review of related methods seems good, though I admit to not knowing the field well enough to know what has been missed.
Neural Information Processing Systems
Oct-8-2024, 09:25:48 GMT
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