【2019-8-18更新】細粒度分類論文和代碼彙總

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

https://github.com/baidu-research/DT-RAM（Torch實現，ResNet的baseline很牛，CUB-200-2011數據集 84.5%，論文方法 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實現，CUB-200-2011數據集 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第三方實現，值得借鑑，但無法復現原文）
https://arxiv.org/abs/1611.09932（CUB-200-2011數據集 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

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CVPR 2019 Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up

http://openaccess.thecvf.com/content_CVPR_2019/papers/Ge_Weakly_Supervised_Complementary_Parts_Models_for_Fine-Grained_Image_Classification_From_CVPR_2019_paper.pdf（CUB-200-2011數據集 90.4%，用了比較多的策略：+ Stacked LSTM + Multi-Loss，Baseline 82.8%）

CVPR 2019 Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

https://github.com/researchmm/tasn（MXNet實現，CUB-200-2011數據集 87.0%）
http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Looking_for_the_Devil_in_the_Details_Learning_Trilinear_Attention_CVPR_2019_paper.pdf

CVPR 2019 Destruction and Construction Learning for Fine-Grained Image Recognition

https://github.com/JDAI-CV/DCL（Pytorch實現，CUB-200-2011數據集 87.8%）
http://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Destruction_and_Construction_Learning_for_Fine-Grained_Image_Recognition_CVPR_2019_paper.pdf

ArXiv 2019 See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification

https://github.com/tau-yihouxiang/WS_DAN（Tensorflow，官方實現）
https://github.com/GuYuc/WS-DAN.PyTorch（Pytorch，第三方實現）
https://arxiv.org/abs/1901.09891