Abstract: Intrusion warning systems serve as the first line of defense against unauthorized access, theft, vandalism, and other security breaches in both residential and commercial settings. Automated ...
Abstract: Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of ...
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