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Weakly Supervised Few-Shot Segmentation via Meta-Learning., , , and . IEEE Trans. Multim., (2023)AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification., , , , , and . CoRR, (2020)Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation., , , and . CoRR, (2023)Truly Generalizable Radiograph Segmentation With Conditional Domain Adaptation., , and . IEEE Access, (2020)Opening Deep Neural Networks With Generative Models., , , and . ICIP, page 1314-1318. IEEE, (2021)A Comparative Study on Unsupervised Domain Adaptation for Coffee Crop Mapping., , , and . CIARP, volume 11401 of Lecture Notes in Computer Science, page 72-80. Springer, (2018)Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled Samples., , and . IEEE Geosci. Remote. Sens. Lett., (2022)A systematic review on open-set segmentation., , , and . Comput. Graph., (October 2023)Weakly Supervised Few-Shot Segmentation Via Meta-Learning., , , and . CoRR, (2021)Deep Transfer Learning for Segmentation of Anatomical Structures in Chest Radiographs., and . SIBGRAPI, page 204-211. IEEE Computer Society, (2018)