SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (RGB-IR ReID) is extremely important for the surveillance applications under poor illumination conditions. Since the difference in the feature representations not only lies in the person' pose, viewpoint or illumination variations, but also comes from h...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2020-10, Vol.30 (10), p.3422-3432
Hauptverfasser:	Kansal, Kajal, Subramanyam, A. V., Wang, Zheng, Satoh, Shin'Ichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Disentanglement Distillation Feature extraction Illumination Infrared imaging Learning Lighting Measurement person re-identification Representations Surveillance Task analysis Training
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