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. 2005.06216
  4. Cited By
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain
  Adaptation for Semantic Segmentation of Satellite Images

DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images

13 May 2020
O. Tasar
A. Giros
Y. Tarabalka
Pierre Alliez
Sebastien Clerc
ArXivPDFHTML

Papers citing "DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images"

5 / 5 papers shown
Title
Integrating Multiple Sources Knowledge for Class Asymmetry Domain
  Adaptation Segmentation of Remote Sensing Images
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
Kuiliang Gao
Anzhu Yu
Xiong You
Wenyue Guo
Ke Li
Ningbo Huang
39
7
0
17 May 2023
High-resolution semantically-consistent image-to-image translation
High-resolution semantically-consistent image-to-image translation
Mikhail Sokolov
Chris Henry
J. Storie
C. Storie
Victor Alhassan
M. Turgeon-Pelchat
48
5
0
13 Sep 2022
Birds of A Feather Flock Together: Category-Divergence Guidance for
  Domain Adaptive Segmentation
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
Bo Yuan
Danpei Zhao
Shuai Shao
Zehuan Yuan
Changhu Wang
63
14
0
05 Apr 2022
A Review of Landcover Classification with Very-High Resolution Remotely
  Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
R. Qin
Tao Liu
29
61
0
07 Feb 2022
Randomized Histogram Matching: A Simple Augmentation for Unsupervised
  Domain Adaptation in Overhead Imagery
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
Can Yaris
Kaleb Kassaw
Bohao Huang
Kyle Bradbury
Jordan M. Malof
21
20
0
28 Apr 2021
1