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MMF-Net: A Novel Multimodal Multiscale Fusion Network for Artery/Vein Segmentation in Retinal Fundus., , , , and . SMC, page 1192-1197. IEEE, (2022)COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval., , , , , , and . CoRR, (2018)Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images., , , , , , , , , and 2 other author(s). BIBM, page 2298-2303. IEEE, (2023)Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization., , , , , , , , , and 3 other author(s). ICPR, page 7293-7298. IEEE, (2020)Learn to Segment Retinal Lesions and Beyond., , , , , , , , , and 1 other author(s). ICPR, page 7403-7410. IEEE, (2020)University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video., , , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2016)Harvesting Deep Models for Cross-Lingual Image Annotation., , and . CBMI, page 36:1-36:5. ACM, (2017)Laser Scar Detection in Fundus Images Using Convolutional Neural Networks., , , , , and . ACCV (4), volume 11364 of Lecture Notes in Computer Science, page 191-206. Springer, (2018)Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching., , , , and . ECCV (21), volume 13681 of Lecture Notes in Computer Science, page 593-609. Springer, (2022)