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In this paper, we categorize fine-grained images without using any object / part annotation neither in the training nor in the testing stage, a step towards making it suitable for deployments.
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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LIBLINEAR: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008
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Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Detecting people using mutually consistent poselet activations
L. Bourdev, S. Maji, T. Brox, and J. Malik · 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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Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
R. Farrell, O. Oza, N. Zhang, V. I. Morariu, T. Darrell, and L. S. Davis · 2011
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Novel dataset for fine-grained image categorization
A. Khosla, N. Jayadevaprakash, B. Yao, and L. Fei-Fei · 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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Aggregating local image descriptors into compact codes
H. Jegou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid · 2012
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Beyond spatial pyramids: Receptive field learning for pooled image features
Y. Jia, C. Huang, and T. Darrell · 2012
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Unsupervised template learning for fine-grained object recognition
S. Yang, L. Bo, J. Wang, and L. Shapiro · 2012
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Pose pooling kernels for sub-category recognition
N. Zhang, R. Farrell, and T. Darrell · 2012
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Fine-grained crowdsourcing for fine-grained recognition
J. Deng, J. Krause, and L. Fei-Fei · 2013
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Fine-grained categorization by alignments
E. Gavves, B. Fernando, C. Snoek, A. Smeulders, and T. Tuytelaars · 2013
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Image classification with the Fisher vector: Theory and practice
J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek · 2013
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Vantage feature frames for fine-grained categorization
A. R. Sfar, N. Boujemaa, and D. Geman · 2013
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Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 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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Nonparametric part transfer for fine-grained recognition
C. Goring, E. Rodner, A. Freytag, and J. Denzler · 2014
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Which looks like which: Exploring inter-class relationships in fine-grained visual categorization
J. Pu, Y.-G. Jiang, J. Wang, and X. Xue · 2014
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Understanding objects in detail with fine-grained attributes
A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, B. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, and S. Mohamed · 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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Fisher kernel for deep neural activations
D. Yoo, S. Park, J.-Y. Lee, and I. S. Kweon · 2014
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Birdsnap: Large-scale fine-grained visual categorization of birds
T. Berg, J. Liu, S. W. Lee, M. L. Alexander, D. W. Jacobs, and P. N. Belhumeur · 2014
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Bird species categorization using pose normalized deep convolutional nets
S. Branson, G. V. Horn, S. Belongie, and P. Perona · 2014
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Return of the devil in the details: Delving deep into convolutional nets
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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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 · 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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Multi-scale orderless pooling of deep convolutional activations features
Y. Gong, L. Wang, R. Guo, and S. Lazebnik · 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. Girshick, and T. Darrell · 2014
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PANDA: Pose aligned networks for deep attribute modeling
N. Zhang, M. Paluri, M. Ranzato, T. Darrell, and L. Bourdev · 2014
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Compact representation for image classification: To choose or to compress?
Y. Zhang, J. Wu, and J. Cai · 2014
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The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification
L. Liu, C. Shen, and A. van den Hengel · 2015
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DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
W. Ouyang, P. Luo, X. Zeng, S. Qiu, Y. Tian, H. Li, S. Yang, Z. Wang, Y. Xiong, C. Qian, Z. Zhu, R. Wang, C.-C. Loy, X. Wang, and X. Tang · 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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