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A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks., и . Multimedia Tools Appl., 79 (7-8): 4499-4524 (2020)Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images., и . CoRR, (2019)Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer., , и . CoRR, (2020)Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise., , , и . CoRR, (2023)CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification., , , , , , , и . CoRR, (2023)Uncertainty estimation for margin detection in cancer surgery using mass spectrometry., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 17 (12): 2305-2313 (2022)Self-supervised learning and uncertainty estimation for surgical margin detection., , , , , , , , , и 4 other автор(ы). Medical Imaging: Image-Guided Procedures, том 12466 из SPIE Proceedings, SPIE, (2023)Semantic Segmentation of RGB-D Images Using 3D and Local Neighbouring Features., и . DICTA, стр. 1-7. IEEE, (2015)Lightweight residual densely connected convolutional neural network., и . Multim. Tools Appl., 79 (35-36): 25571-25588 (2020)TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision., , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 18 (7): 1193-1200 (июля 2023)