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Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.

, , , and . Medical Image Anal., (2023)

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Improving neural network robustness through neighborhood preserving layers., , , and . Image Vis. Comput., (2022)Mixed-supervised segmentation: Confidence maximization helps knowledge distillation., , , and . CoRR, (2021)Improving Neural Network Robustness through Neighborhood Preserving Layers., , , and . CoRR, (2021)The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration., , , and . CVPR, page 80-88. IEEE, (2022)Class Adaptive Network Calibration., , , , and . CVPR, page 16070-16079. IEEE, (2023)Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition., , , and . ACCV (1), volume 9003 of Lecture Notes in Computer Science, page 643-658. Springer, (2014)Segmentation with mixed supervision: Confidence maximization helps knowledge distillation., , , and . Medical Image Anal., (2023)Calibrating Segmentation Networks with Margin-based Label Smoothing., , , , and . CoRR, (2022)GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges., , , , , , , , , and 19 other author(s). CoRR, (2022)Operation Optimization of Air Cooling System Based on Random Forest Algorithm., , , , , , , , , and . DTPI, page 1-7. IEEE, (2023)