Hugging Face Trending Papers July 15, 2026

Beyond scalar losses: calibrating segmentation models via gradient vector field surgery

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Region-based loss functions, such as the Dice loss, have established themselves as the de facto standard for highly class- and region-imbalanced segmentation tasks. However, models trained using region-based loss functions are notoriously miscalibrated and typically yield over-confident predictions.

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computer-vision

arXiv AI

Jul 17

Beyond scalar losses: calibrating segmentation models via gradient vector field surgery

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By Laurin Lux, Alexander H. Berger, Moritz Knolle, Daniel R\"uckert, Johannes C. Paetzold

computer-vision

Hugging Face Trending Papers

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computer-vision

arXiv Computer Vision

Sep 7

Medical Image Segmentation based on Deep Active Contour and Mean Curvature Loss Function

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By Xiao-qiang Zhai, Zhi-feng Pang, Peng Zheng, Ze-wen Li, Yan-zhe Hou

computer-vision benchmarks

arXiv Machine Learning

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computer-vision multimodal benchmarks safety

arXiv AI

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By Abhijeet Parida, Daniel Capell\'an-Mart\'in, Zhifan Jiang, Nishad Kulkarni, Krithika Iyer, Austin Tapp, Syed Muhammad Anwar, Mar\'ia J. Ledesma-Carbayo, Marius George Linguraru

computer-vision

arXiv AI

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ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements

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computer-vision efficiency benchmarks

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