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Ultra Fine-Grained Image Semantic Embedding., , , , , , , , , and . WSDM, page 277-285. ACM, (2020)Unifying Specialist Image Embedding into Universal Image Embedding., , , , , , , , , and . CoRR, (2020)The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition., , , , , , , and . ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 301-320. Springer, (2016)The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition., , , , , , , and . CoRR, (2015)The Open Images Dataset V4., , , , , , , , , and 2 other author(s). Int. J. Comput. Vis., 128 (7): 1956-1981 (2020)Graph-RISE: Graph-Regularized Image Semantic Embedding., , , , , , , , , and . CoRR, (2019)Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use., , , , , , , , , and 3 other author(s). CoRR, (2024)CARLS: Cross-platform Asynchronous Representation Learning System., , , , , , , , , and 6 other author(s). CoRR, (2021)Blockout: Dynamic Model Selection for Hierarchical Deep Networks., , , and . CoRR, (2015)Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision., , , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4904-4916. PMLR, (2021)