Date of publication：2021-03-16 Number of clicks: 0
Recently, one paper on language-based person search is accepted by the journal IEEE TIP. The full name of IEEE TIP is Transactions on Image Processing, which is an international journal on computer vision and image processing with an impact factor of 6.79 announced in 2020. The paper information is as follow:
Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue and Bingpeng Ma. “Cross-Modal Knowledge Adaptation for Language-Based Person Search”, IEEE Transactions on Image Processing (TIP), 2021. (Accepted)
In summary, the main contributions of this work include: 1) A cross-modal knowledge adaptation method is proposed. By combining different levels of knowledge adaptation, the information between modalities is balanced and more textual-visual correspondences are learned; 2) The effectiveness of CMKA is verified on the language-based person search dataset; 3) The effectiveness of CMKA is verified on the different retrieval tasks (including image-text bi-directional retrieval and image-to-text re-ID).
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