Deep LAC: Deep localization, alignment and classification for fine-grained recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 1666-1674

  Lin, Di ^a   Shen, Xiaoyong ^a   Lu, Cewu ^b   Jia, Jiaya ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER VISION;

DEEP NEURAL NETWORKS; FINE GRAINED; OBJECT DATA; RECOGNITION SYSTEMS;

PATTERN RECOGNITION;

EID: 84959188579     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298775     Document Type: Conference Paper

References (28)

1. A. Angelova and S. Zhu. Efficient object detection and segmentation for fine-grained recognition. In CVPR, 2013
2. H. Azizpour and I. Laptev. Object detection using stronglysupervised deformable part models. In ECCV. 2012
3. T. Berg and P. N. Belhumeur. Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation. In CVPR, 2013
4. S. Branson, G. Van Horn, S. Belongie, and P. Perona. Bird species categorization using pose normalized deep convolutional nets. arXiv, 2014
5. Y. Chai, V. Lempitsky, and A. Zisserman. Symbiotic segmentation and part localization for fine-grained categorization. In ICCV, 2013
6. J. Deng, J. Krause, and L. Fei-Fei. Fine-grained crowdsourcing for fine-grained recognition. In CVPR, 2013
7. R. Farrell, O. Oza, N. Zhang, V. I. Morariu, T. Darrell, and L. S. Davis. Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. In ICCV, 2011
8. E. Gavves, B. Fernando, C. Snoek, A. Smeulders, and T. Tuytelaars. Fine-grained categorization by alignments. In ICCV, 2013
9. C. Goering, E. Rodner, A. Freytag, and J. Denzler. Nonparametric part transfer for fine-grained recognition. In CVPR, 2014
10. Y. Gong, L. Wang, R. Guo, and S. Lazebnik. Multi-scale orderless pooling of deep convolutional activation features. ECCV, 2014
11. Y. Jia. Caffe: An open source convolutional architecture for fast feature embedding. http://caffe. berkeleyvision. org/, 2013
12. F. S. Khan, J. Weijer, A. D. Bagdanov, and M. Vanrell. Portmanteau vocabularies for multi-cue image representation. In NIPS, 2011
13. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
14. Y. J. Lee, A. A. Efros, and M. Hebert. Style-aware midlevel representation for discovering visual connections in space and time. In ICCV, 2013
15. J. Liu, A. Kanazawa, D. Jacobs, and P. Belhumeur. Dog breed classification using part localization. In ECCV. 2012
16. A. Y. Ng,M. I. Jordan, Y. Weiss, et al. On spectral clustering: Analysis and an algorithm. NIPS, 2002
17. J. Ngiam, Z. Chen, D. Chia, P. W. Koh, Q. V. Le, and A. Y. Ng. Tiled convolutional neural networks. In NIPS, 2010
18. J. P. Pluim, J. A. Maintz, and M. A. Viergever. Mutualinformation-based registration of medical images: a survey. Medical Imaging, 2003
19. A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson. Cnn features off-the-shelf: an astounding baseline for recognition. arXiv, 2014
20. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv, 2013
21. J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders. Selective search for object recognition. IJCV, 2013
22. C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The caltech-ucsd birds-200-2011 dataset. 2011
23. P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona. Caltech-ucsd birds 200. Technical report, California Institute of Technology, 2010
24. L. Xie, Q. Tian, S. Yan, and B. Zhang. Hierarchical part matching for fine-grained visual categorization. In ICCV, 2013
25. S. Yang, L. Bo, J. Wang, and L. G. Shapiro. Unsupervised template learning for fine-grained object recognition. In NIPS, 2012
26. B. Yao, A. Khosla, and L. Fei-Fei. Combining randomization and discrimination for fine-grained image categorization. In CVPR, 2011
27. N. Zhang, J. Donahue, R. Girshick, and T. Darrell. Partbased r-cnns for fine-grained category detection. In ECCV, 2014
28. N. Zhang, R. Farrell, F. Iandola, and T. Darrell. Deformable part descriptors for fine-grained recognition and attribute prediction. In ICCV, 2013.