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Scale Aware Adaptation for Land-Cover Classification in Remote Sensing
  Imagery

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery

8 December 2020
XueQing Deng
Yi Zhu
Yuxin Tian
Shawn D. Newsam
ArXiv (abs)PDFHTML

Papers citing "Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery"

8 / 8 papers shown
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Xi Chen
Shen Yan
Juelin Zhu
Chen Chen
Yu Liu
Maojun Zhang
388
2
0
20 May 2025
On the Transferability of Learning Models for Semantic Segmentation for
  Remote Sensing Data
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data
Rongjun Qin
Guixiang Zhang
Yang Tang
282
3
0
16 Oct 2023
Handling Image and Label Resolution Mismatch in Remote Sensing
Handling Image and Label Resolution Mismatch in Remote SensingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Scott Workman
Armin Hadzic
M. U. Rafique
190
8
0
28 Nov 2022
Fast building segmentation from satellite imagery and few local labels
Fast building segmentation from satellite imagery and few local labels
Caleb Robinson
Anthony Ortiz
Hogeun Park
Nancy Lozano‐Gracia
Jon Kher Kaw
Tina Sederholm
Rahul Dodhia
J. L. Ferres
156
23
0
10 Jun 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 TransferabilityRemote Sensing (RS), 2022
R. Qin
Tao Liu
309
84
0
07 Feb 2022
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain
  Adaptation
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
XueQing Deng
Yi Zhu
Yuxin Tian
Shawn D. Newsam
OOD
180
3
0
24 Jun 2021
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile
  Processors
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile ProcessorsIFIP International Information Security Conference (IIS), 2020
Jie Liu
Jiawen Liu
Zhen Xie
Dong Li
248
5
0
03 Mar 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,156
0
17 Feb 2017
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