Abstract: Most existing few-shot image classification methods employ global pooling to aggregate class-relevant local features in a data-drive manner. Due to the difficulty and inaccuracy in locating ...
Abstract: We present CosmicMan, a text-to-image foundation model specialized for generating high-fidelity human images. Unlike current general-purpose foundation models that are stuck in the dilemma ...
Abstract: Accurate segmentation of specific organs or diseased tissues in medical images is crucial for precise diagnosis and effective treatment planning. While fully-supervised deep learning methods ...
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