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. 2210.13109
  4. Cited By
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron
  Microscopy

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy

24 October 2022
Dafei Qiu
Jiajin Yi
Jialin Peng
ArXivPDFHTML

Papers citing "WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy"

7 / 7 papers shown
Title
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional
  Network for Mitochondria Segmentation in EM Images
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
Zhimin Yuan
Xiaofeng Ma
Jiajin Yi
Zhengrong Luo
Jialin Peng
41
23
0
08 Jan 2021
Domain Adaptive Semantic Segmentation Using Weak Labels
Domain Adaptive Semantic Segmentation Using Weak Labels
S. Paul
Yi-Hsuan Tsai
S. Schulter
Amit K. Roy-Chowdhury
Manmohan Chandraker
42
91
0
30 Jul 2020
Scribble-based Domain Adaptation via Co-segmentation
Scribble-based Domain Adaptation via Co-segmentation
Reuben Dorent
Samuel Joutard
J. Shapey
Sotirios Bisdas
N. Kitchen
R. Bradford
S. Saeed
Marc Modat
Sebastien Ourselin
Tom Vercauteren
OOD
37
47
0
07 Jul 2020
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
587
4,735
0
13 May 2019
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
110
1,535
0
28 Feb 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
347
9,418
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
200
5,177
0
10 Feb 2015
1