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We introduce MosAIc, an interactive web app that allows users to find pairs of semantically related artworks that span different cultures, media, and millennia.
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Georgiana Dinu, Angeliki Lazaridou, and Marco Baroni · 2014
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Jingdong Wang, Heng Tao Shen, Jingkuan Song, and Jianqiu Ji · 2014
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Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel LK Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, and James J DiCarlo · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Ancient Egypt Transformed: The Middle Kingdom
Adela Oppenheim, Dorothea Arnold, Dieter Arnold, and Kei Yamamoto · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang · 2017
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Introducing similarity search at flickr, Mar 2017
Clayton Mellina · 2017
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Feature visualization
Chris Olah, Alexander Mordvintsev, and Ludwig Schubert · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms
Martin Aumüller, Erik Bernhardsson, and Alexander John Faithfull · 2018
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Dmitry Baranchuk, Artem Babenko, and Yury Malkov · 2018
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Unsupervised alignment of embeddings with wasserstein procrustes, 2018
Edouard Grave, Armand Joulin, and Quentin Berthet · 2018
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Interpretable multimodal retrieval for fashion products
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Learning large euclidean margin for sketch-based image retrieval
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Reconfigurable inverted index
Yusuke Matsui, Ryota Hinami, and Shin’ichi Satoh · 2018
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Conditional image-text embedding networks
Bryan A Plummer, Paige Kordas, M Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, and Svetlana Lazebnik · 2018
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Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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URL https://github.com/metmuseum/openaccess
The Metropolitan Museum of Art Open Access CSV, 2019 · 2019
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URL https://data.rijksmuseum.nl/
The Rijksmuseum Open Access API, 2019 · 2019
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Seeing what a gan cannot generate, 2019
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, and Antonio Torralba · 2019
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Neural style transfer: A review
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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K-nearest neighbors search by random projection forests
Donghui Yan, Yingjie Wang, Jin Wang, Honggang Wang, and Zhenpeng Li · 2019
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An interpretable deep architecture for similarity learning built upon hierarchical concepts
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, and Meng Wang · 2020
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Large-scale intelligent microservices
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, and William T Freeman · 2020
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