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We propose an architecture for fine-grained visual categorization that approaches expert human performance in the classification of bird species.
A dual-based procedure for uncapacitated facility location
Donald Erlenkotter · 1978
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Heuristics for the fixed cost median problem
Dorit S Hochbaum · 1982
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Principal warps: Thin-plate splines and the decomposition of deformations
Fred L. Bookstein · 1989
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Convolutional networks for images, speech, and time series
Yann LeCun and Yoshua Bengio · 1995
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Shape context: A new descriptor for shape matching and object recognition
Serge Belongie, Jitendra Malik, and Jan Puzicha · 2000
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Greedy facility location algorithms analyzed using dual fitting with factor-revealing lp
Kamal Jain, Mohammad Mahdian, Evangelos Markakis, Amin Saberi, and Vijay V Vazirani · 2003
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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A maximum entropy framework for part-based texture and object recognition
S. Lazebnik, C. Schmid, and J. Ponce · 2005
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A visual vocabulary for flower classification
M-E Nilsback and Andrew Zisserman · 2006
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
Gary B Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller · 2007
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Searching the world’s herbaria
Peter Belhumeur, Daozheng Chen, Steven Feiner, David Jacobs, W. Kress, Haibin Ling, Ida Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White, and Ling Zhang · 2008
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Automated flower classification
M.E. Nilsback and A. Zisserman · 2008
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Poselets: Body part detectors trained using 3D human pose annotations
Lubomir Bourdev and Jitendra Malik · 2009
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Dictionary-free categorization of very similar objects
G. Martínez-Muñoz et al · 2009
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Automatic attribute discovery and characterization from noisy web data
Tamara L Berg, Alexander C Berg, and Jonathan Shih · 2010
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Kernel descriptors for visual recognition
Liefeng Bo, Xiaofeng Ren, and Dieter Fox · 2010
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Visual recognition with humans in the loop
Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, and Serge Belongie · 2010
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Object detection with discriminatively trained part-based models
Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan · 2010
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Haar random forest features and svm spatial matching kernel for stonefly species identification
Natalia Larios, Bilge Soran, Linda G Shapiro, G Martínez-Muñoz, Junyuan Lin, and Thomas G Dietterich · 2010
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Improving the fisher kernel for large-scale image classification
Florent Perronnin, Jorge Sánchez, and Thomas Mensink · 2010
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Caltech-UCSD Birds 200
Peter Welinder, Steve Branson, Takeshi Mita, Catherine Wah, Florian Schroff, Serge Belongie, and Pietro Perona · 2010
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Bicos: A bi-level co-segmentation method
Cats and dogs
Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman, and CV Jawahar · 2012
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Unsupervised template learning for fine-grained object recognition
Shulin Yang, Liefeng Bo, Jue Wang, and Linda G Shapiro · 2012
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A codebook and annotation-free approach for FGVC
Bangpeng Yao, Gray Bradski, and Li Fei-Fei · 2012
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Pose pooling kernels for sub-category recognition
Ning Zhang, Ryan Farrell, and Trever Darrell · 2012
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Efficient object detection and segmentation for fine-grained recognition
Anelia Angelova and Shenghuo Zhu · 2013
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POOF: Part-based one-vs-one features for fine-grained categorization, face verification, and attribute estimation
Thomas Berg and Peter N Belhumeur · 2013
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Yuning Chai, Victor Lempitsky, and Andrew Zisserman · 2011
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Birdlets
R. Farrell, O. Oza, N. Zhang, V.I. Morariu, T. Darrell, and L.S. Davis · 2011
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Novel dataset for FGVC: Stanford dogs
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Fei-Fei Li · 2011
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The truth about cats and dogs
Omkar M Parkhi, Andrea Vedaldi, CV Jawahar, and Andrew Zisserman · 2011
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Fine-grained categorization for 3D scene understanding
Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J Little, Bernt Schiele, and Daphne Koller · 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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Combining randomization and discrimination for FGVC
Bangpeng Yao, Aditya Khosla, and Li Fei-Fei · 2011
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Efficient large-scale structured learning
Steve Branson, Oscar Beijbom, and Serge Belongie · 2013
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Symbiotic segmentation and part localization for fine-grained categorization
Yuning Chai, Victor Lempitsky, and Andrew Zisserman · 2013
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Decaf: A deep convolutional activation feature for generic visual recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell · 2013
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Fine-grained categorization by alignments
E. Gavves, B. Fernando, C.G.M. Snoek, A.W.M. Smeulders, and T. Tuytelaars · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2013
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Caffe: An open source convolutional architecture for fast feature embedding
Yangqing Jia · 2013
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Visualizing and understanding convolutional networks
Matthew Zeiler and Rob Fergus · 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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Birdsnap: Large-scale fine-grained visual categorization of birds
Thomas Berg, Jiongxin Liu, Seung Woo Lee, Michelle L. Alexander, David W. Jacobs, and Peter N. Belhumeur · 2014
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The ignorant led by the blind: A hybrid human–machine vision system for fine-grained categorization
Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, and Serge Belongie · 2014
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