Abstract: Remote sensing semantic segmentation is a key technology for geospatial information extraction and has found wide applications. Existing mainstream methods are primarily based on ...
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
Abstract: This paper aims to exploit deep learning techniques to make skin diagnostic processes more efficient, delivering higher accuracy and consistent predictions to assist dermatologists in making ...
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