细粒度图像分类识别顶级论文及实现代码 DT-RAM / NTS-Net / DFL-CNN / Bilinear Pooling / Grassmann Pooling

ICCV2017 Dynamic Computational Time for Recurrent Attention Model (DT-RAM)

https://github.com/baidu-research/DT-RAM(Torch实现,ResNet的baseline很牛,CUB-200-2011数据集 84.5%,论文方法 86.0%)
http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Li_Dynamic_Computational_Time_ICCV_2017_paper.pdf

ECCV2018 Learning to Navigate for Fine-grained Classification

https://github.com/yangze0930/NTS-Net(Pytorch实现,CUB-200-2011数据集 87.6%)
http://openaccess.thecvf.com/content_ECCV_2018/papers/Ze_Yang_Learning_to_Navigate_ECCV_2018_paper.pdf

CVPR 2018 Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

https://github.com/songdejia/DFL-CNN(Pytorch第三方实现,值得借鉴,但无法复现原文)
https://arxiv.org/abs/1611.09932(CUB-200-2011数据集 87.4%)

ECCV 2018 Pairwise Confusion for Fine-Grained Visual Classification

http://openaccess.thecvf.com/content_ECCV_2018/papers/Abhimanyu_Dubey_Improving_Fine-Grained_Visual_ECCV_2018_paper.pdf

ECCV 2018 Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

http://openaccess.thecvf.com/content_ECCV_2018/papers/Ming_Sun_Multi-Attention_Multi-Class_Constraint_ECCV_2018_paper.pdf

ECCV 2018 Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition

http://openaccess.thecvf.com/content_ECCV_2018/papers/Chaojian_Yu_Hierarchical_Bilinear_Pooling_ECCV_2018_paper.pdf

ECCV 2018 Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification

http://openaccess.thecvf.com/content_ECCV_2018/papers/Xing_Wei_Grassmann_Pooling_for_ECCV_2018_paper.pdf

 

参考:https://blog.csdn.net/wjbwjbwjbwjb/article/details/84728344

基于深度卷积特征的细粒度图像分类研究综述:https://zhuanlan.zhihu.com/p/24738319

 

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