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Training general representations for remote sensing using in-domain
  knowledge

Training general representations for remote sensing using in-domain knowledge

30 September 2020
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
ArXivPDFHTML

Papers citing "Training general representations for remote sensing using in-domain knowledge"

5 / 5 papers shown
Title
Supervised and Contrastive Self-Supervised In-Domain Representation
  Learning for Dense Prediction Problems in Remote Sensing
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
SSL
31
0
0
29 Jan 2023
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
34
71
0
13 Nov 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
31
38
0
27 May 2022
Source data selection for out-of-domain generalization
Source data selection for out-of-domain generalization
Xinran Miao
Kris Sankaran
OODD
11
0
0
04 Feb 2022
Contrastive Multiview Coding with Electro-optics for SAR Semantic
  Segmentation
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
Keumgang Cha
Junghoon Seo
Yeji Choi
32
29
0
31 Aug 2021
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