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. 1908.10028
  4. Cited By
Attention-based Dropout Layer for Weakly Supervised Object Localization

Attention-based Dropout Layer for Weakly Supervised Object Localization

27 August 2019
Junsuk Choe
Hyunjung Shim
    WSOL
ArXivPDFHTML

Papers citing "Attention-based Dropout Layer for Weakly Supervised Object Localization"

5 / 55 papers shown
Title
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
303
186
0
21 Jan 2020
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Anwesan Pal
S. Mondal
H. Christensen
26
51
0
24 Nov 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
34
70
0
08 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
379
4,694
0
13 May 2019
Object Discovery From a Single Unlabeled Image by Mining Frequent
  Itemset With Multi-scale Features
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang
Yaping Huang
Mengyang Pu
Jian Zhang
Q. Guan
Qi Zou
Haibin Ling
ObjD
27
31
0
26 Feb 2019
Previous
12