转自:https://blog.csdn.net/Layumi1993/article/details/55798568?locationNum=2&fps=1
关于行人重识别综述,推荐一下liang zheng 2016年的综述: Past, Present and Future 写了从传统方法到深度学习,从图片到视频的行人重识别的方法。
推荐链接:http://www.liangzheng.org/
- 作者:郑哲东
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链接:https://www.zhihu.com/question/46943328/answer/139931140
来源:知乎
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以下为一些公开的行人重识别代码链接:(我会持续更新)
- LOMO: Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
- Improved CNN: [python implementation (tensorFlow) ]: Ning-Ding/Implementation-CVPR2015-CNN-for-ReID [c++ dlib version ]: ptran516/idla-person-reid
- 2stream-CNN: [Matconvnet]: layumi/2016_person_re-ID [Caffe]: D-X-Y/caffe-reid
- CNN+Pose: erichuang0771/PoseBox-Reid
- DomainDropout: Cysu/dgd_person_reid
- PersonSearch: ShuangLI59/person_search
- Baseline: zhunzhong07/IDE-baseline-Market-1501
- k-reciprocal re-ranking: zhunzhong07/person-re-ranking
- Triplet: VisualComputingInstitute/triplet-reid
行人重识别 数据集链接:
- Re-ID Dataset Summary: https://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/projectpages/reiddataset.html
图像数据集(Image-based):
- CUHK01, 02, 03: Rui Zhao's Homepage
- Market-1501, PRW: Liang Zheng's Homepage
- DukeMTMC_reID: layumi/DukeMTMC-reID_evaluation
Attribute相关数据集:
- RAP : An introduction to the RAP dataset
- Attribute for Market-1501and DukeMTMC_reID: vana-yutian (组里妹子标的,大家可以支持一下~)
视频相关数据集:
NLP相关数据集:
在这里列出这些paper和新paper的arXiv链接,和大家共同学习。(和自然语言结合;svd做更好更短的embedding;Reranking对map提升很大,pratical的work;GAN做数据增强,防止过拟合;Attribute 传统multitask,IDlevel提供数据集;Triplet loss扶我起来,我还能干;PoseBox检测part然后fusion)
- Caption:[1702.05729] Person Search with Natural Language Description
- SVDNet:[1703.05693] SVDNet for Pedestrian Retrieval
- Reranking:[1701.08398] Re-ranking Person Re-identification with k-reciprocal Encoding
- GAN:[1701.07717] Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
- Attribute:[1703.07220] Improving Person Re-identification by Attribute and Identity Learning
- Triplet Loss:[1703.07737] In Defense of the Triplet Loss for Person Re-Identification
- PoseBox:[1701.07732] Pose Invariant Embedding for Deep Person Re-identification
- NLPVideo:[1704.07945] Spatio-temporal Person Retrieval via Natural Language Queries
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