ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.11042
  4. Cited By
Towards Good Practices on Building Effective CNN Baseline Model for
  Person Re-identification

Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification

29 July 2018
Fu Xiong
Yang Xiao
Zhiguo Cao
Kaicheng Gong
Zhiwen Fang
Qiufeng Wang
    CVBM
ArXivPDFHTML

Papers citing "Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification"

3 / 3 papers shown
Title
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Katsuhiko Ishiguro
K. Ujihara
R. Sawada
Hirotaka Akita
Masaaki Kotera
27
6
0
02 Oct 2020
A Strong Baseline and Batch Normalization Neck for Deep Person
  Re-identification
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo
Wei Jiang
Youzhi Gu
Fuxu Liu
Xingyu Liao
Shenqi Lai
Jianyang Gu
3DPC
22
509
0
19 Jun 2019
3D PersonVLAD: Learning Deep Global Representations for Video-based
  Person Re-identification
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu
Yang Wang
Ling Shao
Hao Wu
3DPC
15
94
0
26 Dec 2018
1