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Abstract: The image multi-label classification task is a common and computationally intensive computer vision task. In this paper, we generate interpretable text features from images by visual large ...

This was asked in #2403, but there have been no responses. For exploring a new dataset where the actual labels are unknown from the start, human annotators should be able to add new labels during the ...

Abstract: Semi-supervised medical image segmentation aims to leverage a limited set of labeled images alongside a substantial volume of unlabeled images to train semantic segmentation models. Existing ...