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Fine-grained image classification is to recognize hundreds of subcategories belonging to the same basic-level category, such as 200 subcategories belonging to the bird, which is highly challenging due to large variance in the same subcategory and small variance among different subcategories.
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Diffusion maps, spectral clustering and eigenfunctions of fokker-planck operators
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Automated flower classification over a large number of classes
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The caltech-ucsd birds-200-2011 dataset
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie · 2011
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Cats and dogs
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3d object representations for fine-grained categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 2013
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Fine-grained visual classification of aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew Blaschko, and Andrea Vedaldi · 2013
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Jasper RR Uijlings, Koen EA van de Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Deformable part descriptors for fine-grained recognition and attribute prediction
Ning Zhang, Ryan Farrell, Forrest Iandola, and Trevor Darrell · 2013
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Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
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Multipath sparse coding using hierarchical matching pursuit
Liefeng Bo, Xiaofeng Ren, and Dieter Fox · 2013
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Anelia Angelova and Shenghuo Zhu · 2013
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Ning Zhang, Jeff Donahue, Ross Girshick, and Trevor Darrell · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Bird species categorization using pose normalized deep convolutional nets
Steve Branson, Grant Van Horn, Serge Belongie, and Pietro Perona · 2014
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Spatial pooling of heterogeneous features for image classification
Lingxi Xie, Qi Tian, Meng Wang, and Bo Zhang · 2014
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Shenghua Gao, Ivor Wai-Hung Tsang, and Yi Ma · 2014
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Pierre Sermanet, Andrea Frome, and Esteban Real · 2014
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Karen Simonyan and Andrew Zisserman · 2014
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Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, and Li Fei-Fei · 2014
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A comparison of dense region detectors for image search and fine-grained classification
Ahmet Iscen, Giorgos Tolias, Philippe-Henri Gosselin, and Hervé Jégou · 2015
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Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Picking deep filter responses for fine-grained image recognition
Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou, Weiyao Lin, and Qi Tian · 2016
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Fused one-vs-all features with semantic alignments for fine-grained visual categorization
Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou, and Qi Tian · 2016
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Fine-grained image classification by exploring bipartite-graph labels
Feng Zhou and Yuanqing Lin · 2016
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Weakly supervised fine-grained categorization with part-based image representation
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Generalized max pooling
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Cnn features off-the-shelf: an astounding baseline for recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
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Return of the devil in the details: Delving deep into convolutional nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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Fine-grained recognition without part annotations
Jonathan Krause, Hailin Jin, Jianchao Yang, and Li Fei-Fei · 2015
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The application of two-level attention models in deep convolutional neural network for fine-grained image classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, and Zheng Zhang · 2015
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Neural activation constellations: Unsupervised part model discovery with convolutional networks
Marcel Simon and Erik Rodner · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Part-stacked cnn for fine-grained visual categorization
Shaoli Huang, Zhe Xu, Dacheng Tao, and Ya Zhang · 2016
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Spda-cnn: Unifying semantic part detection and abstraction for fine-grained recognition
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Learning deep features for discriminative localization
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Xiao Liu, Tian Xia, Jiang Wang, and Yuanqing Lin · 2016
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Interactive: Inter-layer activeness propagation
Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L Yuille, and Qi Tian · 2016
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Diversified visual attention networks for fine-grained object classification
Bo Zhao, Xiao Wu, Jiashi Feng, Qiang Peng, and Shuicheng Yan · 2016
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Detecting densely distributed graph patterns for fine-grained image categorization
Luming Zhang, Yang Yang, Meng Wang, Richang Hong, Liqiang Nie, and Xuelong Li · 2016
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Coarse-to-fine description for fine-grained visual categorization
Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, and Qi Tian · 2016
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Webly-supervised fine-grained visual categorization via deep domain adaptation
Zhe Xu, Shaoli Huang, Ya Zhang, and Dacheng Tao · 2016
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Mining discriminative triplets of patches for fine-grained classification
Yaming Wang, Jonghyun Choi, Vlad Morariu, and Larry S Davis · 2016
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Weakly-supervised discriminative patch learning via cnn for fine-grained recognition
Yaming Wang, Vlad I Morariu, and Larry S Davis · 2016
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A survey on deep learning-based fine-grained object classification and semantic segmentation
Bo Zhao, Jiashi Feng, Xiao Wu, and Shuicheng Yan · 2017
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Friend or foe: Fine-grained categorization with weak supervision
Zhe Xu, Dacheng Tao, Shaoli Huang, and Ya Zhang · 2017
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Pbc: Polygon-based classifier for fine-grained categorization
Chao Huang, Hongliang Li, Yurui Xie, Qingbo Wu, and Bing Luo · 2017
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Towards reversal-invariant image representation
Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, and Qi Tian · 2017
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