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Existing computer vision research in categorization struggles with fine-grained attributes recognition due to the inherently high intra-class variances and low inter-class variances.
An analysis of histogram-based thresholding algorithms
C.A. Glasbey · 1993
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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icassava 2019 fine-grained visual categorization challenge, 2019
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EfficientNet: Rethinking model scaling for convolutional neural networks
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Yue Chen, Yalong Bai, Wei Zhang, and Tao Mei · 2019
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Multi-branch and multi-scale attention learning for fine-grained visual categorization, 2020
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