Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

2 October 2017

Papers citing "Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification"

7 / 7 papers shown

Title
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition Ming Wang Xianda Guo Beibei Lin Tian Yang Zhenguo Zhu Lincheng Li Shunli Zhang Xin Yu CVBM 47 35 0 27 Mar 2023
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction Soroush Hashemifar Abdolreza Marefat Javad Hassannataj Joloudari H. Hassanpour CVBM 33 11 0 27 Jan 2023
Rethinking Person Re-Identification via Semantic-Based Pretraining Suncheng Xiang Jingsheng Gao Zi-Yu Zhang Mengyuan Guan Binghai Yan Ting Liu Xiaobo Li Yuzhuo Fu VLM 32 11 0 11 Oct 2021
Hard-Mining Loss based Convolutional Neural Network for Face Recognition Yash Srivastava Vaishnav Murali S. Dubey CVBM 33 11 0 09 Aug 2019
Batch DropBlock Network for Person Re-identification and Beyond Zuozhuo Dai Mingqiang Chen Xiaodong Gu Siyu Zhu Ping Tan OOD 13 246 0 17 Nov 2018
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification Xing Fan Hao Luo Xuan Zhang Lingxiao He Chi Zhang Wei Jiang 22 91 0 16 Oct 2018
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking M. Sarfraz Arne Schumann Andreas Eberle Rainer Stiefelhagen 49 493 0 28 Nov 2017