Vehicle Pose Transform by Generative Adversarial Network for Re-Identification

Vehicle Pose Transform by Generative Adversarial Network for Re-Identification

碩士 === 國立中正大學 === 資訊工程研究所 === 107 === Vehicle Re-identification (Re-ID) is an major task that seeks a query vehicleimage from the gallery image dataset and it has the huge potential to contribute tothe intelligent video surveillance. However, the pose variation of vehicle images isone of the key ch...

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Bibliographic Details
Main Authors:	HU, CHAN-SHUO, 胡展碩
Other Authors:	CHIANG, CHEN-KUO
Format:	Others
Language:	en_US
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/ev7rhw

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