The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Deep Metric Learning for Person Re-identification
Abstract
Various hand-crafted features and metric learning methods prevail in the field of person re-identification. Compared to these methods, this paper proposes a more general way that can learn a similarity metric from image pixels directly. By using a "siamese" deep neural network, the proposed method can jointly learn the color feature, texture feature and metric in a unified framework. The network has a symmetry structure with two sub-networks which are connected by a cosine layer. Each sub network includes two convolutional layers and a full connected layer. To deal with the big variations of person images, binomial deviance is used to evaluate the cost between similarities and labels, which is proved to be robust to outliers. Experiments on VIPeR illustrate the superior performance of our method and a cross database experiment also shows its good generalization.
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Cites
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Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
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Signature Verification Using A "Siamese" Time Delay Neural Network
BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001493000339 · Cited by 2,077
Cited by
MARS: A Video Benchmark for Large-Scale Person Re-Identification
Zheng, L., Bie, Z., Sun, Y., Wang, J., Su, C., Wang, S., & Tian, Q. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_52 · Cited by 965
A Discriminatively Learned CNN Embedding for Person Reidentification
Zheng, Z., Zheng, L., & Yang, Y. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3159171 · Cited by 874
Deep Metric Learning: A Survey
KAYA, M., & BİLGE, H. Ş. (2019) · Symmetry · doi:10.3390/sym11091066 · Cited by 703
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Wang, W., Yu, R., Huang, Q., & Neumann, U. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00272 · Cited by 544
End-to-End Comparative Attention Networks for Person Re-Identification
Liu, H., Feng, J., Qi, M., Jiang, J., & Yan, S. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2700762 · Cited by 482
Metadata
- Authors
- Yi, D., Lei, Z., Liao, S., & Li, S. Z.
- Venue
- 2014 22nd International Conference on Pattern Recognition
- Publisher
- IEEE
- Published
- 2014-08
- Pages
- 34-39
- ISSN
- 1041-3278 (ISSN-L)
- OpenAlex
- W2135442311
- Cited by
- 931
- References
- 4
- FWCI
- 22.89
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Yi, D., Lei, Z., Liao, S., & Li, S. Z. (2014). Deep Metric Learning for Person Re-identification. 2014 22nd International Conference on Pattern Recognition. https://doi.org/10.1109/icpr.2014.16
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