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Disentangled Representation for Cross-Domain Medical Image Segmentation.

, , , , , and . IEEE Trans. Instrum. Meas., (2023)

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PICA: Point-wise Instance and Centroid Alignment Based Few-shot Domain Adaptive Object Detection with Loose Annotations., , , , , and . WACV, page 398-407. IEEE, (2022)Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach., , , and . SII, page 205-212. IEEE, (2020)CANN: Coupled Approximation Neural Network for Partial Domain Adaptation., , , , and . CIKM, page 464-473. ACM, (2021)Discriminative Mutual Learning for Multi-target Domain Adaptation., , , , , and . ICPR, page 2900-2906. IEEE, (2022)A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification., , , and . CoRR, (2020)Feature Disentanglement For Cross-Domain Retina Vessel Segmentation., , , , and . ICIP, page 26-30. IEEE, (2021)Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation., , , , , and . IJCAI, page 2958-2965. ijcai.org, (2022)Dual-Consistency Self-Training For Unsupervised Domain Adaptation., , , , , and . ICIP, page 1529-1533. IEEE, (2021)Multi-Step Test-Time Adaptation with Entropy Minimization and Pseudo-Labeling., , , , and . ICIP, page 4153-4157. IEEE, (2022)Disentangled Representation for Cross-Domain Medical Image Segmentation., , , , , and . IEEE Trans. Instrum. Meas., (2023)