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We propose a weakly supervised approach for creating maps using free-form textual descriptions.
Transient attributes for high-level understanding and editing of outdoor scenes
Pierre-Yves Laffont, Zhile Ren, Xiaofeng Tao, Chao Qian, and James Hays · 2014
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
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Beyond spatial auto-regressive models: Predicting housing prices with satellite imagery
Archith J Bency, Swati Rallapalli, Raghu K Ganti, Mudhakar Srivatsa, and BS Manjunath · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Understanding and mapping natural beauty
Scott Workman, Richard Souvenir, and Nathan Jacobs · 2017
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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Multi-scale digital soil mapping with deep learning
Thorsten Behrens, Karsten Schmidt, Robert A MacMillan, and Raphael A Viscarra Rossel · 2018
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What goes where: Predicting object distributions from above
Connor Greenwell, Scott Workman, and Nathan Jacobs · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Deepdpm: Dynamic population mapping via deep neural network
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, and Yong Li · 2019
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A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery
Victor Alhassan, Christopher Henry, Sheela Ramanna, and Christopher Storie · 2020
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Randaugment: Practical automated data augmentation with a reduced search space
Ekin D Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V Le · 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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Towards delivering on the sustainable development goals using earth observations, 2020
Argyro Kavvada, Graciela Metternicht, Flora Kerblat, Naledzani Mudau, Marie Haldorson, Sharthi Laldaparsad, Lawrence Friedl, Alex Held, and Emilio Chuvieco · 2020
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Learning a dynamic map of visual appearance
Tawfiq Salem, Scott Workman, and Nathan Jacobs · 2020
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Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu · 2020
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Estimating residential building energy consumption using overhead imagery
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
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Explainable identification and mapping of trees using uav rgb image and deep learning
Masanori Onishi and Takeshi Ise · 2021
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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
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Filip: fine-grained interactive language-image pre-training
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, and Chunjing Xu · 2021
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Artem Streltsov, Jordan M Malof, Bohao Huang, and Kyle Bradbury · 2020
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Dynamic traffic modeling from overhead imagery
Scott Workman and Nathan Jacobs · 2020
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Virtex: Learning visual representations from textual annotations
Karan Desai and Justin Johnson · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
Cited alongside, same era.
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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Clipcap: Clip prefix for image captioning
Ron Mokady, Amir Hertz, and Amit H Bermano · 2021
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Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, et al · 2021
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Fine-grained image captioning with clip reward
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, and Mohit Bansal · 2022
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Deep learning and earth observation to support the sustainable development goals: current approaches, open challenges, and future opportunities. ieee geosci remote sens mag 10 (2): 172–200, 2022
C Persello, JD Wegner, R Hänsch, D Tuia, P Ghamisi, M Koeva, and G Camps-Valls · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Contrastive learning of medical visual representations from paired images and text
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz · 2022
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Machine learning data-driven approaches for land use/cover mapping and trend analysis using google earth engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, Tobia Lakes, and Thomas Blaschke · 2023
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Skyscript: A large and semantically diverse vision-language dataset for remote sensing
Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, and Ram Rajagopal · 2023
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Chatearthnet: A global-scale, high-quality image-text dataset for remote sensing
Zhenghang Yuan, Zhitong Xiong, Lichao Mou, and Xiao Xiang Zhu · 2024
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