On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification

19 March 2024

Papers citing "On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification"

9 / 9 papers shown

Title
Deep learning-based person re-identification methods: A survey and outlook of recent works Zhang Ming Min Zhu Xiangkun Wang Jiamin Zhu Junlong Cheng Chengrui Gao Yong-Liang Yang Xiaoyong Wei 115 99 0 10 Oct 2021
Deep Learning for Person Re-identification: A Survey and Outlook Mang Ye Jianbing Shen Gaojie Lin Tao Xiang Ling Shao Guosheng Lin 115 1,587 0 13 Jan 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 101 205 0 12 Nov 2019
When does Diversity Help Generalization in Classification Ensembles? Yijun Bian Huanhuan Chen 60 71 0 30 Oct 2019
In Defense of the Classification Loss for Person Re-Identification Y. Zhai Xun Guo Yan Lu Houqiang Li 57 56 0 16 Sep 2018
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline) Yifan Sun Liang Zheng Yi Yang Q. Tian Shengjin Wang 147 2,178 0 26 Nov 2017
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification Hong-Xing Yu Ancong Wu Weishi Zheng 56 331 0 27 Aug 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Learning to rank in person re-identification with metric ensembles S. Paisitkriangkrai Chunhua Shen Anton Van Den Hengel 86 474 0 05 Mar 2015