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This paper introduces a holistic vision-language foundation model tailored for remote sensing, named Falcon.
Structural high-resolution satellite image indexing
Gui-Song Xia, Wen Yang, Julie Delon, Yann Gousseau, Hong Sun, and Henri Maître · 2010
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Bag-of-visual-words and spatial extensions for land-use classification
Yi Yang and Shawn Newsam · 2010
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Multi-class geospatial object detection and geographic image classification based on collection of part detectors
Gong Cheng, Junwei Han, Peicheng Zhou, and Lei Guo · 2014
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Orientation robust object detection in aerial images using deep convolutional neural network
Haigang Zhu, Xiaogang Chen, Weiqun Dai, Kun Fu, Qixiang Ye, and Jianbin Jiao · 2015
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Deep learning based feature selection for remote sensing scene classification
Qin Zou, Lihao Ni, Tong Zhang, and Qian Wang · 2015
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Deep semantic understanding of high resolution remote sensing image
Bo Qu, Xuelong Li, Dacheng Tao, and Xiaoqiang Lu · 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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Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2017
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Rsi-cb: A large scale remote sensing image classification benchmark via crowdsource data
Haifeng Li, Chao Tao, Zhixiang Wu, Jie Chen, Jianya Gong, and Min Deng · 2017
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A high resolution optical satellite image dataset for ship recognition and some new baselines
Zikun Liu, Liu Yuan, Lubin Weng, and Yiping Yang · 2017
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Exploring models and data for remote sensing image caption generation
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li · 2017
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Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark
Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, and Pierre Alliez · 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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Multitask learning for large-scale semantic change detection
Rodrigo Caye Daudt, B. L. Saux, Alexandre Boulch, and Yann Gousseau · 2018
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Detecting damaged buildings on post-hurricane satellite imagery based on customized convolutional neural networks
Cao Quoc Dung and Youngjun Choe · 2018
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xview: Objects in context in overhead imagery
Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew K. Klaric, Yaroslav Bulatov, and Brendan McCord · 2018
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Change detection in remote sensing images using conditional adversarial networks
MA Lebedev, Yu V Vizilter, OV Vygolov, Vladimir A Knyaz, and A Yu Rubis · 2018
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Performance evaluation of single-label and multi-label remote sensing image retrieval using a dense labeling dataset
Zhenfeng Shao, Ke Yang, and Weixun Zhou · 2018
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Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
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Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval
Weixun Zhou, Shawn Newsam, Congmin Li, and Zhenfeng Shao · 2018
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Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set
Shunping Ji, Shiqing Wei, and Meng Lu · 2019
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Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, and Volker Markl · 2019
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Scene classification with recurrent attention of vhr remote sensing images
Qi Wang, Shaoteng Liu, Jocelyn Chanussot, and Xuelong Li · 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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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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Rsvqa: Visual question answering for remote sensing data
Sylvain Lobry, Diego Marcos, Jesse Murray, and Devis Tuia · 2020
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Uavid: A semantic segmentation dataset for uav imagery
Ye Lyu, George Vosselman, Gui-Song Xia, Alper Yilmaz, and Michael Ying Yang · 2020
Cited alongside, same era.
Land-cover classification with high-resolution remote sensing images using transferable deep models
Qikai Lu Huangfeng Shen Shengyang Li Shucheng You Liangpei Zhang Xin-Yi Tong, Gui-Song Xia · 2020
Cited alongside, same era.
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
Chenxiao Zhang, Peng Yue, Deodato Tapete, Liangcun Jiang, Boyi Shangguan, Li Huang, and Guangchao Liu · 2020
Cited alongside, same era.
Synthesizing optical and sar imagery from land cover maps and auxiliary raster data
Gerald Baier, Antonin Deschemps, Michael Schmitt, and Naoto Yokoya · 2021
Cited alongside, same era.
Ship detection in sentinel 2 multi-spectral images with self-supervised learning
Alina Ciocarlan and Andrei Stoian · 2021
Cited alongside, same era.
Rsgpt: A remote sensing vision language model and benchmark
Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, and Xiang Li · 2023
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Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, and Keqin Chen · 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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Globe230k: A benchmark dense-pixel annotation dataset for global land cover mapping
Qian Shi, Da He, Zhengyu Liu, Xiaoping Liu, and Jingqian Xue · 2023
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Visionllm: Large language model is also an open-ended decoder for vision-centric tasks, 2023
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Object detection in aerial images: A large-scale benchmark and challenges
Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, et al · 2021
Cited alongside, same era.
Multiscene: A large-scale dataset and benchmark for multiscene recognition in single aerial images
Yuansheng Hua, Lichao Mou, Pu Jin, and Xiao Xiang Zhu · 2021
Cited alongside, same era.
On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid
Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, and Deren Li · 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
Cited alongside, same era.
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
Cited alongside, same era.
Rareplanes: Synthetic data takes flight
Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, and Daeil Kim · 2021
Cited alongside, same era.
Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation
Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zhong · 2021
Cited alongside, same era.
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, and Jifeng Dai · 2023
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Mar20: A benchmark for military aircraft recognition in remote sensing images
Wenqi Yu, Gong Cheng, Meijun Wang, Yanqing Yao, Xingxing Xie, Xiwen Yao, and Junwei Han · 2023
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Osprey: Pixel understanding with visual instruction tuning, 2023
Yuan Yuqian, Li Wentong, Liu Jian, Tang Dongqi, Luo Xinjie, Qin Chi, Zhang Lei, and Zhu Jianke · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Sztaki-inria building detection benchmark
Xavier Descombes Csaba Benedek and Josiane Zerubia · 2024
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Airbus ship detection challenge
Jeff Faudi and Martin · 2024
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Remote sensing chatgpt: Solving remote sensing tasks with chatgpt and visual models
Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang, and Deren Li · 2024
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Minicpm: Unveiling the potential of small language models with scalable training strategies
Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, et al · 2024
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Geochat: Grounded large vision-language model for remote sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, and Fahad Shahbaz Khan · 2024
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Rs image dataset hefei
Kun Li · 2024
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S2mae: A spatial-spectral pretraining foundation model for spectral remote sensing data
Xuyang Li, Danfeng Hong, and Jocelyn Chanussot · 2024
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Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, and Pengfeng Xiao · 2024
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Airound: Multi-view datasets
PATREO · 2024
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Bh pools and water tanks datasets
PATREO · 2024
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Airplane detection dataset
RSAICP · 2024
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Ship detection dataset
RSAICP · 2024
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Large language models for captioning and retrieving remote sensing images
João Daniel Silva, João Magalhães, Devis Tuia, and Bruno Martins · 2024
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Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Wenhai Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, et al · 2024
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Florence-2: Advancing a unified representation for a variety of vision tasks
Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, and Lu Yuan · 2024
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Cong Yang, Zuchao Li, and Lefei Zhang · 2024
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Yang Zhan, Zhitong Xiong, and Yuan Yuan · 2024
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