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Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains.

, , , , and . CVPR, page 15495-15506. IEEE, (2023)

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Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012., , , and . CoRR, (2013)Interactive Image Retrieval for Biodiversity Research., , and . GCPR, volume 9358 of Lecture Notes in Computer Science, page 129-141. Springer, (2015)Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains., , , , and . CVPR, page 15495-15506. IEEE, (2023)Nonparametric Part Transfer for Fine-Grained Recognition., , , and . CVPR, page 2489-2496. IEEE Computer Society, (2014)Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios., , , and . ACCV Workshops (3), volume 10118 of Lecture Notes in Computer Science, page 588-605. Springer, (2016)Workshop on Interactive and Adaptive Learning in an Open World., , , , , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 487-493. Springer, (2018)Active Learning for Regression Tasks with Expected Model Output Changes., , , , , and . BMVC, page 103. BMVA Press, (2018)Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation., , , , and . CVPR, page 9532-9542. Computer Vision Foundation / IEEE, (2021)Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation., , , , and . ECCV (21), volume 13681 of Lecture Notes in Computer Science, page 401-419. Springer, (2022)Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)