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. 1911.11445
  4. Cited By
F3Net: Fusion, Feedback and Focus for Salient Object Detection

F3Net: Fusion, Feedback and Focus for Salient Object Detection

26 November 2019
Junhang Wei
Shuhui Wang
Qingming Huang
    3DPC
ArXivPDFHTML

Papers citing "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

3 / 53 papers shown
Title
A Weakly Supervised Region-Based Active Learning Method for COVID-19
  Segmentation in CT Images
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
I. Laradji
Pau Rodríguez López
Frederic Branchaud-Charron
Keegan Lensink
Parmida Atighehchian
William Parker
David Vazquez
Derek Nowrouzezahrai
33
19
0
07 Jul 2020
Is Depth Really Necessary for Salient Object Detection?
Is Depth Really Necessary for Salient Object Detection?
Jiawei Zhao
Yifan Zhao
Jia Li
Xiaowu Chen
11
71
0
30 May 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional
  Variational Autoencoders
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
Jing Zhang
Deng-Ping Fan
Yuchao Dai
Saeed Anwar
F. Saleh
Tong Zhang
Nick Barnes
UQCV
14
319
0
13 Apr 2020
Previous
12