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STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training., , , , , , , , , and 1 other author(s). CoRR, (2023)Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism., , , , and . IGARSS, page 3856-3859. IEEE, (2019)A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification., , , , , and . IGARSS, page 3832-3835. IEEE, (2019)Semantic Segmentation for High-Resolution Remote Sensing Images by Light-Weight Network., , , , and . IGARSS, page 3456-3459. IEEE, (2021)SAM-Med2D., , , , , , , , , and 5 other author(s). CoRR, (2023)Revisiting Feature Propagation and Aggregation in Polyp Segmentation., , , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 632-641. Springer, (2023)SAM-Med3D., , , , , , , , , and 4 other author(s). CoRR, (2023)The General Pair-based Weighting Loss for Deep Metric Learning., , , and . CoRR, (2019)Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning., , , , and . Remote. Sens., 14 (3): 533 (2022)SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks., , , , , , , , , and 5 other author(s). CoRR, (2023)