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Global and Local Contrastive Self-Supervised Learning for Semantic
  Segmentation of HR Remote Sensing Images
v1v2 (latest)

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
20 June 2021
Haifeng Li
Yi Li
Guo Zhang
Ruoyun Liu
Haozhe Huang
Qing Zhu
Chao Tao
    SSL
ArXiv (abs)PDFHTMLGithub (66★)

Papers citing "Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images"

27 / 27 papers shown
Title
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
Zhongle Ren
Hui Ding
Kai Wang
B. Hou
Xingyu Luo
Weibin Li
Licheng Jiao
128
0
0
11 Nov 2025
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
Dakota Hester
Vitor S. Martins
Lucas B. Ferreira
Thainara M. A. Lima
SSL
313
0
0
04 Nov 2025
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
Liang Lv
Di Wang
Jing Zhang
L. Zhang
AI4TS
151
0
0
17 Aug 2025
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive Learning
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wenhui Diao
Haichen Yu
Kaiyue Kang
Tong Ling
Di Liu
...
Hanbo Bi
Libo Ren
Xuexue Li
Yongqiang Mao
Xian Sun
827
8
0
20 Sep 2024
SSLChange: A Self-supervised Change Detection Framework Based on Domain
  Adaptation
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao
Turgay Celik
Nanqing Liu
Feng Gao
Heng-Chao Li
220
10
0
28 May 2024
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image
  Clustering
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering
Jingxin Wang
Renxiang Guan
Kainan Gao
Zihao Li
Hao Li
Xianju Li
Chang-Fu Tang
176
3
0
08 Apr 2024
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based
  on Graph Convolutional Networks
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks
Renxiang Guan
Zihao Li
Xianju Li
Chang-Fu Tang
Ruyi Feng
171
31
0
11 Dec 2023
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite
  Imagery
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery
Jeremy Irvin
Lucas Tao
Joanne Zhou
Yuntao Ma
Langston Nashold
Benjamin Liu
Andrew Y. Ng
ViT
187
33
0
02 Dec 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote SensingIndian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), 2023
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSLVLM
173
6
0
27 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical
  Masked Autoencoders
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked AutoencodersNeural Information Processing Systems (NeurIPS), 2023
A. Fuller
K. Millard
James R. Green
215
125
0
01 Nov 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image UnderstandingACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) (TOMM), 2023
Mingming Zhang
Qingjie Liu
Yunhong Wang
320
9
0
28 Sep 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote SensingEuropean Conference on Artificial Intelligence (ECAI), 2023
Jing Wu
N. Hovakimyan
Jennifer Hobbs
148
18
0
27 Jul 2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for
  Remote Sensing Image Semantic Segmentation
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic SegmentationIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Zhaoyang Zhang
Zhen Ren
Chao Tao
Yunsheng Zhang
Cheng-Shuang Peng
Haifeng Li
SSL
297
17
0
28 Jun 2023
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing
  Image Understanding
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Dilxat Muhtar
Xue-liang Zhang
Pengfeng Xiao
Zhenshi Li
Feng-Xue Gu
SSL
240
92
0
19 Apr 2023
Enhancing Self-Supervised Learning for Remote Sensing with Elevation
  Data: A Case Study with Scarce And High Level Semantic Labels
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic Labels
Omar A. Castaño-Idarraga
Raúl Ramos-Pollán
F. Kalaitzis
96
0
0
13 Apr 2023
A Billion-scale Foundation Model for Remote Sensing Images
A Billion-scale Foundation Model for Remote Sensing ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
Keumgang Cha
Junghoon Seo
Taekyung Lee
227
94
0
11 Apr 2023
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point
  Clouds
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point CloudsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Yun-Hai Liu
Xu Yan
Zhilei Chen
Zhiqi Li
Zeyong Wei
Mingqiang Wei
3DPC
160
6
0
23 Mar 2023
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
146
0
0
29 Jan 2023
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future WorksIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
196
74
0
15 Nov 2022
False: False Negative Samples Aware Contrastive Learning for Semantic
  Segmentation of High-Resolution Remote Sensing Image
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing ImageIEEE Geoscience and Remote Sensing Letters (GRSL), 2022
Zhaoyang Zhang
Xuying Wang
X. Mei
Chao Tao
Haifeng Li
152
22
0
15 Nov 2022
Improving Image Clustering through Sample Ranking and Its Application to
  remote--sensing images
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing imagesRemote Sensing (RS), 2022
Qing Li
Guoping Qiu
170
2
0
26 Sep 2022
Metadata-enhanced contrastive learning from retinal optical coherence
  tomography images
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
Fernando Navarro
222
15
0
04 Aug 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change DetectionIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
188
46
0
27 May 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
V. Marsocci
Simone Scardapane
CLL
186
34
0
23 May 2022
TOV: The Original Vision Model for Optical Remote Sensing Image
  Understanding via Self-supervised Learning
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised LearningIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Chao Tao
Ji Qi
Guo Zhang
Qing Zhu
Weipeng Lu
Haifeng Li
226
64
0
10 Apr 2022
Clustering-Based Representation Learning through Output Translation and
  Its Application to Remote--Sensing Images
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qing Li
Bin Li
J. Garibaldi
Guoping Qiu
SSL
167
4
0
13 Jul 2021
Deep learning on edge: extracting field boundaries from satellite images
  with a convolutional neural network
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural networkRemote Sensing of Environment (RSE), 2019
F. Waldner
F. Diakogiannis
209
228
0
26 Oct 2019
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