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Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition.

, , , , , , and . IEEE Trans. Medical Imaging, 43 (1): 335-350 (January 2024)

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Distance metric learning for feature-agnostic place recognition., , , , and . IROS, page 2556-2563. IEEE, (2015)DeepFruits: A Fruit Detection System Using Deep Neural Networks., , , , , and . Sensors, 16 (8): 1222 (2016)Underwater Image High Definition Display Using the Multilayer Perceptron and Color Feature-Based SRCNN., , , , , , and . IEEE Access, (2019)Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation., , , , , , , and . IEEE Trans. Medical Imaging, 41 (6): 1533-1546 (2022)ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning., , , , , , , and . Briefings Bioinform., (2022)OCTID: a one-class learning-based Python package for tumor image detection., , , , and . Bioinform., 37 (21): 3986-3988 (2021)EventRPG: Event Data Augmentation with Relevance Propagation Guidance., , , , , , and . CoRR, (2024)Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation., , , , , and . CoRR, (2021)HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding., , , , , , and . CoRR, (2023)Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study., , , , , , , , , and 9 other author(s). J. Big Data, 10 (1): 134 (December 2023)