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Compared to earlier multistage frameworks using CNN features, recent end-to-end deep approaches for fine-grained recognition essentially enhance the mid-level learning capability of CNNs.
Visual recognition with humans in the loop
S. Branson, C. Wah, F. Schroff, B. Babenko, P. Welinder, P. Perona, and S. Belongie · 2010
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The caltech-ucsd birds 200-2011 dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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Discriminative decorrelation for clustering and classification
B. Hariharan, J. Malik, and D. Ramanan · 2012
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A codebook-free and annotation-free approach for fine-grained image categorization
B. Yao, G. R. Bradski, and L. Fei-Fei · 2012
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POOF: part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
T. Berg and P. N. Belhumeur · 2013
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Symbiotic segmentation and part localization for fine-grained categorization
Y. Chai, V. S. Lempitsky, and A. Zisserman · 2013
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3d object representation for fine-grained categorization
J. Krause, M. Stark, J. Deng, and L. Fei-Fei · 2013
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Fine-grained visual classification of aircraft
S. Maji, E. Rahtu, J. Kannala, M. B. Blaschko, and A. Vedaldi · 2013
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Deformable part descriptors for fine-grained recognition and attribute prediction
N. Zhang, R. Farrell, F. N. Iandola, and T. Darrell · 2013
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Analyzing the performance of multilayer neural networks for object recognition
P. Agrawal, R. B. Girshick, and J. Malik · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Revisiting the fisher vector for fine-grained classification
P. H. Gosselin, N. Murray, H. Jégou, and F. Perronnin · 2014
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Jointly optimizing 3d model fitting and fine-grained classification
Y. Lin, V. I. Morariu, W. H. Hsu, and L. S. Davis · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Similarity comparisons for interactive fine-grained categorization
C. Wah, G. V. Horn, S. Branson, S. Maji, P. Perona, and S. Belongie · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Part-based r-cnns for fine-grained category detection
N. Zhang, J. Donahue, R. B. Girshick, and T. Darrell · 2014
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Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. E. Reed, D. Walter, H. Lee, and B. Schiele · 2015
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Fast R-CNN
R. B. Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
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Fine-grained recognition without part annotations
J. Krause, H. Jin, J. Yang, and F. Li · 2015
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Deeply-supervised nets
C. Lee, S. Xie, P. W. Gallagher, Z. Zhang, and Z. Tu · 2015
Cited alongside, same era.
Deep LAC: deep localization, alignment and classification for fine-grained recognition
D. Lin, X. Shen, C. Lu, and J. Jia · 2015
Cited alongside, same era.
Bilinear CNN models for fine-grained visual recognition
T. Lin, A. RoyChowdhury, and S. Maji · 2015
Cited alongside, same era.
SSD: single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. E. Reed, C. Fu, and A. C. Berg · 2016
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Boxcars: 3d boxes as cnn input for improved fine-grained vehicle recognition
J. Sochor, A. Herout, and J. Havel · 2016
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Mining discriminative triplets of patches for fine-grained classification
Y. Wang, J. Choi, V. Morariu, and L. S. Davis · 2016
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Mask-cnn: Localizing parts and selecting descriptors for fine-grained image recognition
X. Wei, C. Xie, and J. Wu · 2016
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Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers
F. Yang, W. Choi, and Y. Lin · 2016
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Neural activation constellations: Unsupervised part model discovery with convolutional networks
M. Simon and E. Rodner · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Multiple granularity descriptors for fine-grained categorization
D. Wang, Z. Shen, J. Shao, W. Zhang, X. Xue, and Z. Zhang · 2015
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The application of two-level attention models in deep convolutional neural network for fine-grained image classification
T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang · 2015
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Hyper-class augmented and regularized deep learning for fine-grained image classification
S. Xie, T. Yang, X. Wang, and Y. Lin · 2015
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H. Zhang, T. Xu, M. Elhoseiny, X. Huang, S. Zhang, A. Elgammal, and D. Metaxas · 2016
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Picking deep filter responses for fine-grained image recognition
X. Zhang, H. Xiong, W. Zhou, W. Lin, and Q. Tian · 2016
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Embedding label structures for fine-grained feature representation
X. Zhang, F. Zhou, Y. Lin, and S. Zhang · 2016
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Learning deep features for discriminative localization
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2016
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Fine-grained image classification by exploring bipartite-graph labels
F. Zhou and Y. Lin · 2016
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Higher-order integration of hierarchical convolutional activations for fine-grained visual categorization
S. Cai, W. Zuo, and L. Zhang · 2017
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Kernel pooling for convolutional neural networks
Y. Cui, F. Zhou, J. Wang, X. Liu, Y. Lin, and S. Belongie · 2017
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Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
J. Fu, H. Zheng, and T. Mei · 2017
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Fine-grained image classification via combining vision and language
X. He and Y. Peng · 2017
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Vegfru: A domain-specific dataset for fine-grained visual categorization
S. Hou, Y. Feng, and Z. Wang · 2017
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Learning discriminative features via label consistent neural network
Z. Jiang, Y. Wang, L. S. Davis, W. Andrews, and V. Rozgic · 2017
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Low-rank bilinear pooling for fine-grained classification
S. Kong and C. Fowlkes · 2017
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Fine-grained recognition as hsnet search for informative image parts
M. Lam, B. Mahasseni, and S. Todorovic · 2017
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Learning multi-attention convolutional neural network for fine-grained image recognition
H. Zheng, J. Fu, T. Mei, and J. Luo · 2017
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