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Simulating Photo-realistic Snow and Fog on Existing Images for Enhanced CNN Training and Evaluation Alexander von Bernuth; Georg Volk; Oliver Bringmann Publication Year: 2019,Page(%Oct 29, 2019 · Simulating Photo-realistic Snow and Fog on Existing Images for Enhanced CNN Training and Evaluation Published in: 2019 IEEE Intelligent Transportation Systems Confe?Jun 7, 2023 · Intelligent vehicle perception algorithms often have difficulty accurately analyzing and interpreting images in adverse weather conditions. Snow is a corner case tha$Jun 21, 2022 · For robust object detection on LiDAR data, neural networks have to be trained on diverse datasets that contain many different environmental influences like rain, sn%Nov 25, 2025 · ADMM-Enhanced CNN Training Framework With Global Convergence Guarantees Abstract: Convolutional Neural Networks (CNNs) are widely employed across various domains du!Aug 13, 2025 · In this study, we introduce BreNet, a robust and empirically validated multi-scale CNN ensemble tailored for breast cancer classification in histopathological image-Apr 22, 2024 · Synthetic aperture radar (SAR) imaging of near Earth surface natural material volumes (soil, snow, and vegetation) and man-made objects corresponds to an equivalent