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Visual–Label Alignment and Attribute-Aware Prompt for Multi-Label Image Recognition with Partial Labels
A novel MLIR-PL model with Visual–Label Alignment and Attribute-Aware Prompt and Attribute-Aware Prompt, which sufficiently harnesses the capabilities of large-scale pre-trained vision-language models is proposed, achieving the best performance comprehensively.
Bidirectional uncertainty-aware region learning for semi-supervised medical image segmentation.
This work proposes a bidirectional uncertainty-aware region learning strategy to fully utilize the precise supervision provided by labeled data and stabilize the training of unlabeled data in semi-supervised medical image segmentation.