HIGHLIGHTS
- who: Qianqian Zhao et al. from the College of Information Science and Engineering, Huaqiao University, Xiamen, China have published the article: Margin-Based Modal Adaptive Learning for Visible-Infrared Person Re-Identification, in the Journal: Sensors 2023, 23, 1426. of /2023/
- what: For that the authors propose a novel margin-based modal adaptive learning (MMAL) method for VIPR in this paper. Between the two domains the authors design a simple yet effective marginal maximum mean discrepancy (M3 D) loss function to avoid an excessive suppression of modal discrepancies to protect the features` discriminative ability on . . .
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