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. 1705.05640
  4. Cited By
WebVision Challenge: Visual Learning and Understanding With Web Data

WebVision Challenge: Visual Learning and Understanding With Web Data

16 May 2017
Wen Li
Limin Wang
Wei Li
E. Agustsson
Jesse Berent
Abhinav Gupta
Rahul Sukthankar
Luc Van Gool
    VLM
ArXiv (abs)PDFHTML

Papers citing "WebVision Challenge: Visual Learning and Understanding With Web Data"

11 / 11 papers shown
Title
May the Forgetting Be with You: Alternate Replay for Learning with Noisy
  Labels
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
Monica Millunzi
Lorenzo Bonicelli
Angelo Porrello
Jacopo Credi
Petter N. Kolm
Simone Calderara
CLL
88
3
0
26 Aug 2024
Label Structure Preserving Contrastive Embedding for Multi-Label
  Learning with Missing Labels
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma
Lisha Li
Qi-rong Mao
Songcan Chen
60
2
0
03 Sep 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
70
31
0
30 Mar 2022
Evaluating Multi-label Classifiers with Noisy Labels
Evaluating Multi-label Classifiers with Noisy Labels
Wenting Zhao
Carla P. Gomes
NoLa
131
14
0
16 Feb 2021
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
104
233
0
26 Feb 2019
Self-Supervised Learning from Web Data for Multimodal Retrieval
Self-Supervised Learning from Web Data for Multimodal Retrieval
Raul Gomez
Lluís Gómez
J. Gibert
Dimosthenis Karatzas
81
22
0
07 Jan 2019
Learning to Learn from Web Data through Deep Semantic Embeddings
Learning to Learn from Web Data through Deep Semantic Embeddings
Raul Gomez
Lluís Gómez
J. Gibert
Dimosthenis Karatzas
116
22
0
20 Aug 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Dinglong Huang
SSL
96
345
0
03 Aug 2018
One-Shot Segmentation in Clutter
One-Shot Segmentation in Clutter
Claudio Michaelis
Matthias Bethge
Alexander S. Ecker
73
40
0
26 Mar 2018
Fine-Grained Land Use Classification at the City Scale Using
  Ground-Level Images
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images
Yi Zhu
XueQing Deng
Shawn D. Newsam
51
51
0
07 Feb 2018
ActivityNet Challenge 2017 Summary
ActivityNet Challenge 2017 Summary
Guohao Li
Juan Carlos Niebles
Cees G. M. Snoek
Fabian Caba Heilbron
Humam Alwassel
Ranjay Krishna
Victor Escorcia
Kenji Hata
S. Buch
113
48
0
22 Oct 2017
1