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. 1803.03310
  4. Cited By
Generalization in Metric Learning: Should the Embedding Layer be the
  Embedding Layer?

Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?

8 March 2018
Nam S. Vo
James Hays
ArXivPDFHTML

Papers citing "Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?"

3 / 3 papers shown
Title
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
24
12
0
04 Apr 2022
Learning Embeddings for Product Visual Search with Triplet Loss and
  Online Sampling
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
Eric Dodds
Huy Nguyen
Simão Herdade
Jack Culpepper
Andrew Kae
Pierre Garrigues
DML
27
5
0
10 Oct 2018
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
Liangchen Song
Cheng Wang
Lefei Zhang
Bo Du
Qian Zhang
Chang Huang
Xinggang Wang
OOD
22
343
0
30 Jul 2018
1