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Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation.
Mocov2: Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 2003
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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A survey on object detection in optical remote sensing images
Gong Cheng and Junwei Han · 2016
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Big data for remote sensing: Challenges and opportunities
Mingmin Chi, Antonio Plaza, Jon Atli Benediktsson, Zhongyi Sun, Jinsheng Shen, and Yangyong Zhu · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery
Jamie Sherrah · 2016
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Remote sensing image scene classification: Benchmark and state of the art
Gong Cheng, Junwei Han, and Xiaoqiang Lu · 2017
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Accurate, large minibatch sgd: Training imagenet in 1 hour
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He · 2017
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Opensarship: A dataset dedicated to sentinel-1 ship interpretation
Lanqing Huang, Bin Liu, Boying Li, Weiwei Guo, Wenhao Yu, Zenghui Zhang, and Wenxian Yu · 2017
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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Aid: A benchmark data set for performance evaluation of aerial scene classification
Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, Liangpei Zhang, and Xiaoqiang Lu · 2017
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Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
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Urban change detection for multispectral earth observation using convolutional neural networks
Rodrigo Caye Daudt, Bertr Le Saux, Alexandre Boulch, and Yann Gousseau · 2018
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Unified perceptual parsing for scene understanding
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, and Jian Sun · 2018
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Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images
Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, and Xiaoning Qian · 2019
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High-quality cloud masking of landsat 8 imagery using convolutional neural networks
M. Joseph Hughes and Robert Kennedy · 2019
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Semantic segmentation of crop type in africa: A novel dataset and analysis of deep learning methods
Rose M Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, and David Lobell · 2019
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Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Jian Kang, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, and Begüm Demir · 2019
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isaid: A large-scale dataset for instance segmentation in aerial images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, and Xiang Bai · 2019
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Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
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A spatial-temporal attention-based method and a new dataset for remote sensing image change detection
Hao Chen and Zhenwei Shi · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Bootstrap your own latent-a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Unsupervised domain adaptation using a teacher-student network for cross-city classification of sentinel-2 images
Jingliang Hu, Lichao Mou, and Xiao Xiang Zhu · 2020
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Object detection in optical remote sensing images: A survey and a new benchmark
Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han · 2020
Land cover change detection with heterogeneous remote sensing images: Review, progress, and perspective
ZhiYong Lv, HaiTao Huang, Xinghua Li, MingHua Zhao, Jon Atli Benediktsson, WeiWei Sun, and Nicola Falco · 2022
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Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation
Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çağlar Şenaras, Timothy Davis, Daniel Cremers, et al · 2022
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Continual object detection via prototypical task correlation guided gating mechanism
Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, and Xiaodan Liang · 2022
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Polyworld: Polygonal building extraction with graph neural networks in satellite images
Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss, and Friedrich Fraundorfer · 2022
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Satlaspretrain: A large-scale dataset for remote sensing image understanding
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, and Aniruddha Kembhavi · 2023
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Geography-aware self-supervised learning
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David Lobell, and Stefano Ermon · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Remote sensing image change detection with transformers
Hao Chen, Zipeng Qi, and Zhenwei Shi · 2021
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Global land use/land cover with sentinel 2 and deep learning
Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C Mazzariello, Mark Mathis, and Steven P Brumby · 2021
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data
Oscar Manas, Alexandre Lacoste, Xavier Giró-i Nieto, David Vazquez, and Pau Rodriguez · 2021
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A multi-scale weakly supervised learning method with adaptive online noise correction for high-resolution change detection of built-up areas
Yinxia Cao, Xin Huang, and Qihao Weng · 2023
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A billion-scale foundation model for remote sensing images
Keumgang Cha, Junghoon Seo, and Taekyung Lee · 2023
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Croma: Remote sensing representations with contrastive radar-optical masked autoencoders
Anthony Fuller, Koreen Millard, and James R. Green · 2023
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Spectralgpt: Spectral foundation model
Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Xiuping Jia, Antonio Plaza, Gamba Paolo, Jon Atli Benediktsson, and Jocelyn Chanussot · 2023
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Foundation models for generalist geospatial artificial intelligence
Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Nyirjesy Gabby, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dario Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu Ganti, Kommy Weldemariam, and Rahul Ramachandran · 2023
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Mfvnet: a deep adaptive fusion network with multiple field-of-views for remote sensing image semantic segmentation
Yansheng Li, Wei Chen, Xin Huang, Gao Zhi, Siwei Li, Tao He, and Yongjun Zhang · 2023
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Seeing beyond the patch: Scale-adaptive semantic segmentation of high-resolution remote sensing imagery based on reinforcement learning
Yinhe Liu, Sunan Shi, Junjue Wang, and Yanfei Zhong · 2023
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Change-aware sampling and contrastive learning for satellite images
Utkarsh Mall, Bharath Hariharan, and Kavita Bala · 2023
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Towards geospatial foundation models via continual pretraining
Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, and Mu Li · 2023
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Cmid: A unified self-supervised learning framework for remote sensing image understanding
Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, and Feng Gu · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning
Colorado J Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, and Trevor Darrell · 2023
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Tov: The original vision model for optical remote sensing image understanding via self-supervised learning
Chao Tao, Ji Qi, Guo Zhang, Qing Zhu, Weipeng Lu, and Haifeng Li · 2023
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Vits for sits: Vision transformers for satellite image time series
Michail Tarasiou, Erik Chavez, and Stefanos Zafeiriou · 2023
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Enabling country-scale land cover mapping with meter-resolution satellite imagery
Xin-Yi Tong, Gui-Song Xia, and Xiao Xiang Zhu · 2023
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Artificial intelligence to advance earth observation: a perspective
Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N van Rijn, Holger H Hoos, Fabio Del Frate, et al · 2023
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Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, and Michael Kirley · 2023
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A comprehensive survey of oriented object detection in remote sensing images
Long Wen, Yu Cheng, Yi Fang, and Xinyu Li · 2023
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Phase-shifting coder: Predicting accurate orientation in oriented object detection
Yi Yu and Feipeng Da · 2023
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Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Hankui K Zhang, David P Roy, and Dong Luo · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
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