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Hierarchical Gaussian Descriptor for Person Re-identification
Computer Vision and Pattern Recognition, 2016Describing the color and textural information of a person image is one of the most crucial aspects of person re-identification. In this paper, we present a novel descriptor based on a hierarchical distribution of pixel features. A hierarchical covariance
Tetsu Matsukawa+3 more
semanticscholar +1 more source
Taichi distance for person re-identification
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Metric learning is an important issue in person re-identification, and Mahalanobis-distance based metric learning methods prevail in this field. All of these approaches can be considered as equivalently projecting all samples to a new metric space and calculating the Euclidean distance there.
Wang, Zheng+4 more
openaire +2 more sources
MARS: A Video Benchmark for Large-Scale Person Re-Identification
European Conference on Computer Vision, 2016Liang Zheng+6 more
semanticscholar +1 more source
Learning Person Re-Identification Models From Videos With Weak Supervision
IEEE Transactions on Image Processing, 2021Dripta S Raychaudhuri+2 more
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GiT: Graph Interactive Transformer for Vehicle Re-Identification
IEEE Transactions on Image Processing, 2023Fei Shen, Jianqing Zhu, Xiaobin Zhu
exaly
Retrieval tool for person re-identification
2014International ...
Bak, Slawomir+6 more
openaire +2 more sources
Deep Learning for Person Re-Identification: A Survey and Outlook
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Mang Ye, Jianbing Shen, Jianbing Shen
exaly
End-to-End Comparative Attention Networks for Person Re-Identification
IEEE Transactions on Image Processing, 2017Hao Liu, Jiashi Feng
exaly