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Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations.
“Fully convolutional siamese networks for change detection,”
Rodrigo Caye Daudt, Bertr Le Saux, and Alexandre Boulch, · 2018
Earlier work this paper cites.
“A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,”
Hao Chen and Zhenwei Shi, · 2020
Earlier work this paper cites.
“Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model,”
Yi Liu, Chao Pang, Zongqian Zhan, Xiaomeng Zhang, and Xue Yang, · 2020
Earlier work this paper cites.
“Remote sensing image change detection with transformers,”
Hao Chen, Zipeng Qi, and Zhenwei Shi, · 2021
Earlier work this paper cites.
“Learning transferable visual models from natural language supervision,”
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al., · 2021
Earlier work this paper cites.
“Snunet-cd: A densely connected siamese network for change detection of vhr images,”
Sheng Fang, Kaiyu Li, Jinyuan Shao, and Zhe Li, · 2021
Cited alongside, same era.
“A transformer-based siamese network for change detection,”
Wele Gedara Chaminda Bandara and Vishal M Patel, · 2022
Cited alongside, same era.
“Resolution-agnostic remote sensing scene classification with implicit neural representations,”
Keyan Chen, Wenyuan Li, Jianqi Chen, Zhengxia Zou, and Zhenwei Shi, · 2022
Cited alongside, same era.
“Ddpm-cd: Remote sensing change detection using denoising diffusion probabilistic models,”
Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, and Vishal M Patel, · 2022
Cited alongside, same era.
“Wnet: W-shaped hierarchical network for remote sensing image change detection,”
Xu Tang, Tianxiang Zhang, Jingjing Ma, Xiangrong Zhang, Fang Liu, and Licheng Jiao, · 2023
Cited alongside, same era.
“Cstsunet: A cross swin transformer based siamese u-shape network for change detection in remote sensing images,”
Yaping Wu, Lu Li, Nan Wang, Wei Li, Junfang Fan, Ran Tao, Xin Wen, and Yanfeng Wang, · 2023
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“Continuous remote sensing image super-resolution based on context interaction in implicit function space,”
Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, Xiaolong Jiang, Zhengxia Zou, and Zhenwei Shi, · 2023
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“Continuous cross-resolution remote sensing image change detection,”
Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, and Zhenwei Shi, · 2023
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Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, and Zhenwei Shi, · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al., · 2023
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