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. 2112.10453
  4. Cited By
Learning with Label Noise for Image Retrieval by Selecting Interactions

Learning with Label Noise for Image Retrieval by Selecting Interactions

20 December 2021
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
S. Clinchant
    NoLa
    VLM
ArXivPDFHTML

Papers citing "Learning with Label Noise for Image Retrieval by Selecting Interactions"

11 / 11 papers shown
Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
73
0
0
03 Mar 2025
One-step Noisy Label Mitigation
One-step Noisy Label Mitigation
Hao Li
Jiayang Gu
Jingkuan Song
An Zhang
Lianli Gao
NoLa
26
0
0
02 Oct 2024
Transformer-empowered Multi-modal Item Embedding for Enhanced Image
  Search in E-Commerce
Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce
Chang Liu
Peng Hou
Anxiang Zeng
Hanwen Yu
6
2
0
29 Nov 2023
ProcSim: Proxy-based Confidence for Robust Similarity Learning
ProcSim: Proxy-based Confidence for Robust Similarity Learning
Oriol Barbany
Xiaofan Lin
Muhammet Bastan
Arnab Dhua
8
2
0
01 Nov 2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge
  for Generic Image Representations
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
Nikolaos-Antonios Ypsilantis
Kaifeng Chen
Bingyi Cao
Mário Lipovský
Pelin Dogan-Schönberger
Grzegorz Makosa
Boris Bluntschli
Mojtaba Seyedhosseini
Ondrej Chum
André Araujo
SSL
21
13
0
04 Sep 2023
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
Jiayun Luo
Boyang Albert Li
Cyril Leung
48
11
0
20 Oct 2022
Deep Image Retrieval is not Robust to Label Noise
Deep Image Retrieval is not Robust to Label Noise
Stanislav Dereka
I. Karpukhin
Sergey Kolesnikov
NoLa
VLM
13
2
0
23 May 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
Deep Learning for Instance Retrieval: A Survey
Deep Learning for Instance Retrieval: A Survey
Wei-Neng Chen
Yu Liu
Weiping Wang
E. Bakker
Theodoros Georgiou
Paul Fieguth
Li Liu
M. Lew
VLM
11
144
0
27 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
236
190
0
12 Jan 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1