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OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover
  Mapping

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping

19 October 2022
J. Xia
Naoto Yokoya
B. Adriano
Clifford Broni-Bediako
    VLM
ArXivPDFHTML

Papers citing "OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping"

7 / 7 papers shown
Title
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Benidir Yanis
Gonthier Nicolas
Mallet Clement
47
1
0
19 Mar 2025
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping
J. Xia
Hongruixuan Chen
Clifford Broni-Bediako
Yimin Wei
Jian Song
Naoto Yokoya
32
4
0
18 Jan 2025
ChangeAnywhere: Sample Generation for Remote Sensing Change Detection
  via Semantic Latent Diffusion Model
ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model
Kai Tang
Jin Chen
DiffM
35
4
0
13 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance
  from Generalized Few-shot Segmentation
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang
Ruixun Liu
Kaiyu Li
Jiawei Jiang
Xiangyong Cao
35
2
0
08 Apr 2024
Learning without Exact Guidance: Updating Large-scale High-resolution
  Land Cover Maps from Low-resolution Historical Labels
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
Zhuo Li
Wei He
Jiepan Li
Fangxiao Lu
Hongyan Zhang
23
12
0
05 Mar 2024
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for
  Cross-City Semantic Segmentation using High-Resolution Domain Adaptation
  Networks
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
Danfeng Hong
Bing Zhang
Hao Li
Yuxuan Li
Jing Yao
Chenyu Li
Martin Werner
Jocelyn Chanussote
Alexander Zipf
Xiaoxiang Zhu
SSeg
21
336
0
26 Sep 2023
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
33
25
0
23 May 2022
1