随笔分类 -  Pedestrian Re-Identification

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posted @ 2020-07-01 16:13 AHU-WangXiao 阅读(45) 评论(2) 推荐(0) 编辑
摘要:Person Re-identification by Contour Sketch under Moderate Clothing Change 2020-07-01 09:43:09 Paper: https://arxiv.org/abs/2002.02295 Dataset: https:/ 阅读全文
posted @ 2020-07-01 09:46 AHU-WangXiao 阅读(749) 评论(0) 推荐(0) 编辑
摘要:Person reID 2020-05-28 17:16:57 Updated on GitHub: https://github.com/wangxiao5791509/Cloth_Change_Person_reID_Paper_List Paper-list: https://github.c 阅读全文
posted @ 2020-05-28 17:53 AHU-WangXiao 阅读(1907) 评论(0) 推荐(0) 编辑
摘要:Multi-shot Pedestrian Re-identification via Sequential Decision Making 2019-07-31 20:33:37 Paper: http://openaccess.thecvf.com/content_cvpr_2018/paper 阅读全文
posted @ 2019-07-31 18:52 AHU-WangXiao 阅读(521) 评论(0) 推荐(0) 编辑
摘要:Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification 2019-03-26 15:27:10 Paper:https://arxiv.org/pdf/1903.09776.pdf Code: https: 阅读全文
posted @ 2019-03-26 15:29 AHU-WangXiao 阅读(2421) 评论(0) 推荐(1) 编辑
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posted @ 2018-12-29 22:12 AHU-WangXiao 阅读(3) 评论(0) 推荐(0) 编辑
摘要:Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association2018-09-29 19:36:43 Paper:http://opena 阅读全文
posted @ 2018-09-29 19:39 AHU-WangXiao 阅读(872) 评论(2) 推荐(0) 编辑
摘要:Person Re-identification with Deep Similarity-Guided Graph Neural Network 2018-07-27 17:41:45 Paper: https://128.84.21.199/pdf/1807.09975.pdf 本文将 Grap 阅读全文
posted @ 2018-07-27 17:44 AHU-WangXiao 阅读(1280) 评论(0) 推荐(1) 编辑
摘要:In Defense of the Triplet Loss for Person Re-Identification 2017-07-02 14:04:20 This blog comes from: http://blog.csdn.net/shuzfan/article/details/700 阅读全文
posted @ 2017-07-02 14:11 AHU-WangXiao 阅读(2676) 评论(0) 推荐(0) 编辑
摘要:Deep Attributes Driven Multi-Camera Person Re-identification 2017-06-28 21:38:55 【Motivation】 本文的网络设计主要分为三个部分: Stage 1: Fully-supervised dCNN training 阅读全文
posted @ 2017-06-28 21:53 AHU-WangXiao 阅读(1921) 评论(1) 推荐(1) 编辑
摘要:Person Re-Identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function CVPR 2016 摘要:跨摄像机的行人再识别仍然是一个具有挑战的问题,特别是摄像机之间没有重叠的观测区域。本文 阅读全文
posted @ 2016-09-29 22:59 AHU-WangXiao 阅读(4629) 评论(0) 推荐(0) 编辑

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