Abstract: Low-quality pseudo labels pose a significant obstacle in semi-supervised medical image segmentation (SSMIS), impeding consistency learning on unlabeled data. Leveraging vision-language model ...
Abstract: This paper introduces a robust watermarking technique for diffusion model-generated images, which effectively balances watermark robustness, image fidelity, and diversity preservation.
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