Generate and Purify: Efficient Person Data Generation for Re-Identification

Generating person images has been a promising approach to enhance the input richness for re-identification (reID) tasks in recent works. A key challenge is that the generated data often contains noise, which is caused by identity inconsistency between the generated person and the original input and...

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Veröffentlicht in:	IEEE transactions on multimedia 2022, Vol.24, p.558-566
Hauptverfasser:	Lu, Jianjie, Zhang, Weidong, Yin, Haibing
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional codes Data models Generative adversarial networks Graph clustering Heating systems Image enhancement Image quality Image synthesis person generation re-identification Training Training data
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