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We find a commonality of various dirty samples is visual-linguistic inconsistency between images and associated labels. To capture the semantic inconsistency between modalities, we propose versatile ...
Abstract: Tensor completion aims to recover the missing entries of a partially observed tensor by exploiting its low-rank structure, and has been applied to visual data recovery. In applications where ...
Abstract: Unsupervised image restoration methods relying on a single data source often face challenges in achieving high-quality visual data completion due to the absence of additional supplementary ...