A large-scale car dataset for fine-grained categorization and verification

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

Volumn 07-12-June-2015, Issue , 2015, Pages 3973-3981

  Yang, Linjie ^a   Luo, Ping ^a,b   Loy, Chen Change ^a,b   Tang, Xiaoou ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MODEL AUTOMOBILES; PATTERN RECOGNITION;

CAR MODELS; CROSS MODALITY; FINE GRAINED; LARGE-SCALE DATASET; VISION COMMUNITIES;

CLASSIFICATION (OF INFORMATION);

EID: 84959184327     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299023     Document Type: Conference Paper

References (30)

1. L. Bourdev, S. Maji, and J. Malik. Describing people: Poselet-based attribute classification. In ICCV, 2011
2. D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun. Bayesian face revisited: A joint formulation. In ECCV. 2012
3. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In CVPR,2009
4. Y. Deng,P. Luo,C. C. Loy, and X. Tang. Pedestrian attribute recognition at far distance. In ACM MM, 2014
5. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. CVPR,20l 4
6. K. He, L. Sigal, and S. Sclaroff. Parameterizing object detectors in the continuous pose space. In ECCV. 2014
7. E. Hsiao, S. N. Sinha, K. Ramnath, S. Baker, L. Zitnick, and R. Szeliski. Car make and model recognition using 3d curve alignment. In IEEE Winter Conference on Applications of Computer Vision, 2014
8. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, October 2007
9. J. Krause, M. Stark, J. Deng, and L. Fei-Fei. 3D object representations for fine-grained categorization. In ICC V Workshops, 2013
10. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
11. N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Attribute and simile classifiers for face verification. In ICCV, 2009
12. Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1(4):541-551, 1989
13. Y. J. Lee, A. A. Efros, and M. Hebert. Style-aware mid-level representation for discovering visual connections in space and time. In ICCV, 2013
14. Y.-L. Lin, V. I. Morariu, W. Hsu, and L. S. Davis. Jointly optimizing 3D model fitting and fine-grained classification. In ECCV. 2014
15. J. Liu, A. Kanazawa, D. Jacobs, and P. Belhumeur. Dog breed classification using part localization. In ECCV. 2012
16. S. Maji, E. Rahtu, J. Kannala, M. Blaschko, and A. Vedaldi. Fine-grained visual classification of aircraft. arXiv preprint arXiv:1306. 5151,2013
17. B. C. Matei, H. S. Sawhney, and S. Samarasekera. Vehicle tracking across nonoverlapping cameras using joint kinematic and appearance features. In CVPR, 2011
18. M.-E. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICVGIP, 2008
19. A. P. Psyllos, C.-N. Anagnostopoulos, and E. Kayafas. Vehicle logo recognition using a sift-based enhanced matching scheme. IEEE Transactions on Intelligent Transportation Systems, 11(2):322-328,2010
20. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312. 6229,2013
21. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In CVPR, 2014
22. Z. Sun, G. Bebis, and R. Miller. On-road vehicle detection: A review. T-PAMI, 28(5):694-711, 2006
23. C. Wah,S. Branson,P. Welinder,P. Perona,a nd S. Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology, 2011
24. Y. Xiang, C. Song, R. Mottaghi, and S. Savarese. Monocular multiview object tracking with 3d aspect parts. In ECCV. 2014
25. L. Yang, J. Liu, and X. Tang. Object detection and viewpoint estimation with auto-masking neural network. In ECCV. 2014
26. N. Zhang, M. Paluri, M. Ranzato, T. Darrell, and L. Bourdev. Panda: Pose aligned networks for deep attribute modeling. CVPR,2014
27. Z. Zhang, P. Luo, C. C. Loy, and X. Tang. Facial landmark detection by deep multi-task learning. In ECCV, pages 94-108,2014
28. Z. Zhang, T. Tan, K. Huang, and Y. Wang. Threedimensional deformable-model-based localization and recognition of road vehicles. IEEE Transactions on Image Processing, 21(1):1-13, 2012
29. Z. Zhu, P. Luo, X. Wang, and X. Tang. Multi-view perceptron: a deep model for learning face identity and view representations. In NIPS, 2014
30. M. Z. Zia, M. Stark, K. Schindler, and R. Vision. Are cars just 3d boxes-jointly estimating the 3d shape of multiple objects. CVPR, 2014.