Visible-Infrared Person Re-Identification Using Privileged Intermediate Information
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25072-9_48
Reference52 articles.
1. Lecture Notes in Computer Science;K Chen,2020
2. Chen, Y., Wan, L., Li, Z., Jing, Q., Sun, Z.: Neural feature search for RGB-infrared person re-identification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 587–597 (2021)
3. Cho, J.W., Kim, D.J., Choi, J., Jung, Y., Kweon, I.S.: Dealing with missing modalities in the visual question answer-difference prediction task through knowledge distillation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1592–1601 (2021)
4. Choi, C., Kim, S., Ramani, K.: Learning hand articulations by hallucinating heat distribution. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3104–3113 (2017)
5. Choi, S., Lee, S., Kim, Y., Kim, T., Kim, C.: HI-CMD: hierarchical cross-modality disentanglement for visible-infrared person re-identification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10257–10266 (2020)
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