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)

PDF Abstract
No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper