Bird species categorization using pose normalized deep convolutional nets

BMVC 2014 - Proceedings of the British Machine Vision Conference 2014

Volumn , Issue , 2014, Pages

  Branson, Steve ^a   Van Horn, Grant ^b   Belongie, Serge ^c   Perona, Pietro ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Cornell Tech ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIRDS; CLUSTERING ALGORITHMS; COMPUTER VISION; CONVOLUTION; GRAPHIC METHODS;

CLASSIFICATION RATES; EMPIRICAL STUDIES; GRAPH-BASED CLUSTERING; HUMAN PERFORMANCE; LOCAL IMAGE FEATURES; POSE NORMALIZATION; STATE-OF-THE-ART PERFORMANCE; VISUAL CATEGORIZATION;

CLASSIFICATION (OF INFORMATION);

EID: 84919741208     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (51)

1. Anelia Angelova and Shenghuo Zhu. Efficient object detection and segmentation for fine-grained recognition. In CVPR, 2013.
2. Peter Belhumeur, Daozheng Chen, Steven Feiner, David Jacobs,W. Kress, Haibin Ling, Ida Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White, and Ling Zhang. Searching the world's herbaria. In ECCV, 2008.
3. Serge Belongie, Jitendra Malik, and Jan Puzicha. Shape context: A new descriptor for shape matching and object recognition. In NIPS, volume 2, page 3, 2000.
4. Tamara L Berg, Alexander C Berg, and Jonathan Shih. Automatic attribute discovery and characterization from noisy web data. In ECCV. 2010.
5. Thomas Berg and Peter N Belhumeur. POOF: Part-based one-vs-one features for finegrained categorization, face verification, and attribute estimation. In CVPR, 2013.
6. Thomas Berg, Jiongxin Liu, SeungWoo Lee, Michelle L. Alexander, DavidW. Jacobs, and Peter N. Belhumeur. Birdsnap: Large-scale fine-grained visual categorization of birds. In CVPR, 2014.
7. Liefeng Bo, Xiaofeng Ren, and Dieter Fox. Kernel descriptors for visual recognition. In NIPS, 2010.
8. Fred L. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on pattern analysis and machine intelligence, 11(6): 567-585, 1989.
9. Lubomir Bourdev and Jitendra Malik. Poselets: Body part detectors trained using 3D human pose annotations. In ICCV, 2009.
10. Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, and Serge Belongie. Visual recognition with humans in the loop. In ECCV. 2010.
11. Steve Branson, Oscar Beijbom, and Serge Belongie. Efficient large-scale structured learning. In CVPR, 2013.
12. Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, and Serge Belongie. The ignorant led by the blind: A hybrid human-machine vision system for fine-grained categorization. IJCV, 2014.
13. Yuning Chai, Victor Lempitsky, and Andrew Zisserman. Bicos: A bi-level cosegmentation method. In ICCV, 2011.
14. Yuning Chai, Esa Rahtu, Victor Lempitsky, Luc Van Gool, and Andrew Zisserman. Tricos. In ECCV, 2012.
15. Yuning Chai, Victor Lempitsky, and Andrew Zisserman. Symbiotic segmentation and part localization for fine-grained categorization. In ICCV, 2013.
16. Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
17. Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. arXiv preprint arXiv:1310.1531, 2013.
18. Donald Erlenkotter. A dual-based procedure for uncapacitated facility location. Operations Research, 1978.
19. R. Farrell, O. Oza, N. Zhang, V.I. Morariu, T. Darrell, and L.S. Davis. Birdlets. In ICCV, 2011.
20. Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan. Object detection with discriminatively trained part-based models. PAMI, 2010.
21. E. Gavves, B. Fernando, C.G.M. Snoek, A.W.M. Smeulders, and T. Tuytelaars. Finegrained categorization by alignments. In ICCV, 2013.
22. Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. arXiv preprint arXiv:1311.2524, 2013.
23. Dorit S Hochbaum. Heuristics for the fixed cost median problem. Mathematical programming, 1982.
24. Gary B Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical report, Technical Report 07-49, University of Massachusetts, Amherst, 2007.
25. Kamal Jain, Mohammad Mahdian, Evangelos Markakis, Amin Saberi, and Vijay V Vazirani. Greedy facility location algorithms analyzed using dual fitting with factorrevealing lp. JACM, 2003.
26. Yangqing Jia. Caffe: An open source convolutional architecture for fast feature embedding. http://caffe.berkeleyvision.org/, 2013.
27. Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Fei-Fei Li. Novel dataset for FGVC: Stanford dogs. CVPR Workshop on FGVC, 2011.
28. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
29. Neeraj Kumar, Peter Belhumeur, Arijit Biswas, David Jacobs, W Kress, Ida Lopez, and João Soares. Leafsnap: A computer vision system for automatic plant species identification. ECCV, 2012.
30. Natalia Larios, Bilge Soran, Linda G Shapiro, G Martínez-Muñoz, Junyuan Lin, and Thomas G Dietterich. Haar random forest features and svm spatial matching kernel for stonefly species identification. In ICPR, 2010.
31. S. Lazebnik, C. Schmid, and J. Ponce. A maximum entropy framework for part-based texture and object recognition. In ICCV, 2005.
32. Yann LeCun and Yoshua Bengio. Convolutional networks for images, speech, and time series. Handbook of brain theory, 1995.
33. Jiongxin Liu, Angjoo Kanazawa, David Jacobs, and Peter Belhumeur. Dog breed classification using part localization. ECCV, 2012.
34. Subhransu Maji. Discovering a lexicon of parts and attributes. In Computer Vision-ECCV 2012. Workshops and Demonstrations, pages 21-30. Springer, 2012.
35. G. Martínez-Muñoz et al. Dictionary-free categorization of very similar objects. In CVPR, 2009.
36. M-E Nilsback and Andrew Zisserman. A visual vocabulary for flower classification. In CVPR, 2006.
37. M.E. Nilsback and A. Zisserman. Automated flower classification. In ICVGIP, 2008.
38. Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman, and CV Jawahar. Cats and dogs. In CVPR, 2012.
39. Omkar M Parkhi, Andrea Vedaldi, CV Jawahar, and Andrew Zisserman. The truth about cats and dogs. In ICCV, 2011.
40. Florent Perronnin, Jorge Sánchez, and Thomas Mensink. Improving the fisher kernel for large-scale image classification. In ECCV. 2010.
41. Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C Berg, Li Fei-Fei, and UNC Chapel Hill. Detecting avocados to zucchinis: what have we done, and where are we going?
42. Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J Little, Bernt Schiele, and Daphne Koller. Fine-grained categorization for 3D scene understanding. International Journal of Robotics Research, 30(13):1543-1552, 2011.
43. C. Wah, S. Branson, P. Perona, and S. Belongie. Multiclass recognition and part localization with humans in the loop. In ICCV, 2011.
44. C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, Caltech, 2011.
45. Peter Welinder, Steve Branson, Takeshi Mita, Catherine Wah, Florian Schroff, Serge Belongie, and Pietro Perona. Caltech-UCSD Birds 200. 2010.
46. Shulin Yang, Liefeng Bo, Jue Wang, and Linda G Shapiro. Unsupervised template learning for fine-grained object recognition. In NIPS, 2012.
47. Bangpeng Yao, Aditya Khosla, and Li Fei-Fei. Combining randomization and discrimination for FGVC. In CVPR, 2011.
48. Bangpeng Yao, Gray Bradski, and Li Fei-Fei. A codebook and annotation-free approach for FGVC. In CVPR, 2012.
49. Matthew Zeiler and Rob Fergus. Visualizing and understanding convolutional networks. arXiv preprint arXiv:1311.2901, 2013.
50. Ning Zhang, Ryan Farrell, and Trever Darrell. Pose pooling kernels for sub-category recognition. In CVPR, 2012.
51. Ning Zhang, Ryan Farrell, Forrest Iandola, and Trevor Darrell. Deformable part descriptors for fine-grained recognition and attribute prediction. In ICCV, 2013.