Diversified Visual Attention Networks for Fine-Grained Object Classification

28 Jun 2016 Bo Zhao Xiao Wu Jiashi Feng Qiang Peng Shuicheng Yan

Fine-grained object classification is a challenging task due to the subtle inter-class difference and large intra-class variation. Recently, visual attention models have been applied to automatically localize the discriminative regions of an image for better capturing critical difference and demonstrated promising performance... (read more)

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