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. 1709.02940
  4. Cited By
How to Train Triplet Networks with 100K Identities?

How to Train Triplet Networks with 100K Identities?

9 September 2017
Chong-Jun Wang
Xue Zhang
Xipeng Lan
    CVBM
ArXivPDFHTML

Papers citing "How to Train Triplet Networks with 100K Identities?"

6 / 6 papers shown
Title
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Chuan Yu
Yunpeng Liu
Jinmiao Zhao
Dou Quan
Zelin Shi
Xiangyu Yue
ViT
47
0
0
18 Mar 2024
Hard negative examples are hard, but useful
Hard negative examples are hard, but useful
Hong Xuan
Abby Stylianou
Xiaotong Liu
Robert Pless
DML
48
124
0
24 Jul 2020
Improving Collaborative Metric Learning with Efficient Negative Sampling
Improving Collaborative Metric Learning with Efficient Negative Sampling
Viet-Anh Tran
Romain Hennequin
Jimena Royo-Letelier
Manuel Moussallam
15
25
0
24 Sep 2019
Learning with Average Precision: Training Image Retrieval with a
  Listwise Loss
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
31
369
0
18 Jun 2019
Robust Re-identification of Manta Rays from Natural Markings by Learning
  Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak
Frederic Maire
A. Armstrong
Feras Dayoub
Mahsa Baktash
22
37
0
28 Feb 2019
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
32
47
0
08 Jun 2018
1