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The 1st Agriculture-Vision Challenge: Methods and Results.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CVPR Workshops, стр. 212-218. Computer Vision Foundation / IEEE, (2020)

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Yu-Ting Yu

Yu-Yu Su

Sze-Man Yu

Metal complexes with enolatoimine ligands for controlled olefin polymerizations. Uni Konstanz, (2009)

Yu Chen

Na Yu

 

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Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization., , , и . CVPR Workshops, стр. 206-211. Computer Vision Foundation / IEEE, (2020)Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization., , , и . CoRR, (2021)OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images., , , , , , , , и . ECCV (8), том 13668 из Lecture Notes in Computer Science, стр. 163-180. Springer, (2022)Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need., , , , , и . CVPR, стр. 11578-11589. IEEE, (2023)Rail-5k: a Real-World Dataset for Rail Surface Defects Detection., , , , и . CoRR, (2021)Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning., , , и . CoRR, (2021)The 1st Agriculture-Vision Challenge: Methods and Results., , , , , , , , , и 32 other автор(ы). CVPR Workshops, стр. 212-218. Computer Vision Foundation / IEEE, (2020)BAL: Balancing Diversity and Novelty for Active Learning., , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 46 (5): 3653-3664 (мая 2024)