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Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences.
Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Kernel descriptors for visual recognition
L. Bo, X. Ren, and D. Fox · 2010
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Caltech-UCSD birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
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Dataset for fine-grained image categorization
A. Khosla, N. Jayadevaprakash, B. Yao, and F.-F. Li · 2011
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Multiclass recognition and part localization with humans in the loop
C. Wah, S. Branson, P. Perona, and S. Belongie · 2011
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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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Object detection using strongly-supervised deformable part models
H. Azizpour and I. Laptev · 2012
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Unsupervised template learning for fine-grained object recognition
S. Yang, L. Bo, J. Wang, and L. G. Shapiro · 2012
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A codebook-free and annotation-free approach for fine-grained image categorization
B. Yao, G. 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. Lempitsky, and A. Zisserman · 2013
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2013
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Fine-grained categorization by alignments
Visualizing and understanding convolutional neural networks
M. D. Zeiler and R. Fergus · 2013
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Deformable part descriptors for fine-grained recognition and attribute prediction
N. Zhang, R. Farrell, F. Iandola, and T. Darrell · 2013
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Bird species categorization using pose normalized deep convolutional nets
S. Branson, G. Van Horn, S. Belongie, and P. Perona · 2014
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BING: Binarized normed gradients for objectness estimation at 300fps
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. Torr · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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E. Gavves, B. Fernando, C. G. Snoek, A. W. Smeulders, and T. Tuytelaars · 2013
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Fine-grained visual classification of aircraft
S. Maji, J. Kannala, E. Rahtu, M. Blaschko, and A. Vedaldi · 2013
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Selective search for object recognition
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders · 2013
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A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Part-based r-cnns for fine-grained category detection
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