Enhancing CLIP-Based Text-Person Retrieval by Leveraging Negative Samples

Author:

Tian Yumin,Li Yuanbo,Wang Di,Liang Xiao,Zhang Ronghua,Wan Bo

Publisher

Springer Nature Singapore

Reference19 articles.

1. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)

2. Ding, Z., Ding, C., Shao, Z., Tao, D.: Semantically self-aligned network for text-to-image part-aware person re-identification. arXiv preprint arXiv:2107.12666 (2021)

3. Doveh, S., et al.: Teaching structured vision & language concepts to vision & language models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2657–2668 (2023)

4. Farooq, A., Awais, M., Kittler, J., Khalid, S.S.: AXM-Net: implicit cross-modal feature alignment for person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 4477–4485 (2022)

5. Gao, C., et al.: Contextual non-local alignment over full-scale representation for text-based person search. arXiv preprint arXiv:2101.03036 (2021)

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