Advancements in Visible-Infrared Person Re-Identification through Identity Clue Refinement

This ArXiv paper explores improvements in visible-infrared person re-identification, a challenging task in computer vision. The research likely focuses on enhancing performance by refining identity cues extracted from images across different spectral bands.

• •Focuses on improving person re-identification across visible and infrared spectrums.
• •Likely involves techniques for refining identity information extracted from images.
• •Potentially contributes to improved surveillance and security applications.