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Contrastive learning methods have significantly narrowed the gap between supervised and unsupervised learning on computer vision tasks.
Im2gps: estimating geographic information from a single image
James Hays and Alexei A Efros · 2008
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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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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Bag-of-visual-words and spatial extensions for land-use classification
Yi Yang and Shawn Newsam · 2010
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Unsupervised feature learning for aerial scene classification
Anil M Cheriyadat · 2013
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Large-scale image geolocalization
James Hays and Alexei A Efros · 2015
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Unsupervised deep feature extraction for remote sensing image classification
Adriana Romero, Carlo Gatta, and Gustau Camps-Valls · 2015
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Improving image classification with location context
Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, and Lubomir Bourdev · 2015
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Unsupervised learning of visual representations using videos
Xiaolong Wang and Abhinav Gupta · 2015
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Unsupervised multilayer feature learning for satellite image scene classification
Yansheng Li, Chao Tao, Yihua Tan, Ke Shang, and Jinwen Tian · 2016
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A large contextual dataset for classification, detection and counting of cars with deep learning
T Nathan Mundhenk, Goran Konjevod, Wesam A Sakla, and Kofi Boakye · 2016
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Unsupervised learning of visual representations by solving jigsaw puzzles
Mehdi Noroozi and Paolo Favaro · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Planet-photo geolocation with convolutional neural networks
Tobias Weyand, Ilya Kostrikov, and James Philbin · 2016
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Semantic annotation of high-resolution satellite images via weakly supervised learning
Xiwen Yao, Junwei Han, Gong Cheng, Xueming Qian, and Lei Guo · 2016
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
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Density estimation for geolocation via convolutional mixture density network
Hayate Iso, Shoko Wakamiya, and Eiji Aramaki · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Remote sensing scene classification by unsupervised representation learning
Xiaoqiang Lu, Xiangtao Zheng, and Yuan Yuan · 2017
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Unsupervised spectral–spatial feature learning via deep residual conv–deconv network for hyperspectral image classification
Lichao Mou, Pedram Ghamisi, and Xiao Xiang Zhu · 2017
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Learning features by watching objects move
Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, and Bharath Hariharan · 2017
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Revisiting im2gps in the deep learning era
Nam Vo, Nathan Jacobs, and James Hays · 2017
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Split-brain autoencoders: Unsupervised learning by cross-channel prediction
Richard Zhang, Phillip Isola, and Alexei A Efros · 2017
Tile2vec: Unsupervised representation learning for spatially distributed data
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, and Stefano Ermon · 2019
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Presence-only geographical priors for fine-grained image classification
Oisin Mac Aodha, Elijah Cole, and Pietro Perona · 2019
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Predicting economic development using geolocated wikipedia articles
Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, David Lobell, and Stefano Ermon · 2019
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Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Learning to interpret satellite images in global scale using wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, and Stefano Ermon · 2019
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Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
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Unsupervised representation learning by predicting image rotations
Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
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xview: Objects in context in overhead imagery
Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, and Brendan McCord · 2018
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Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
Cited alongside, same era.
Geolocation estimation of photos using a hierarchical model and scene classification
Eric Muller-Budack, Kader Pustu-Iren, and Ralph Ewerth · 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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Learning to interpret satellite images using wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, and Stefano Ermon · 2019
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Learning to interpret satellite images using wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B Lobell, and Stefano Ermon · 2019
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Hyperspectral image unsupervised classification by robust manifold matrix factorization
Lefei Zhang, Liangpei Zhang, Bo Du, Jane You, and Dacheng Tao · 2019
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Generating interpretable poverty maps using object detection in satellite images
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, and Stefano Ermon · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 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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Self-supervised learning of pretext-invariant representations
Ishan Misra and Laurens van der Maaten · 2020
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Fixmatch: Simplifying semi-supervised learning with consistency and confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel · 2020
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Efficient object detection in large images using deep reinforcement learning
Burak Uzkent, Christopher Yeh, and Stefano Ermon · 2020
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