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At Pinterest, we utilize image embeddings throughout our search and recommendation systems to help our users navigate through visual content by powering experiences like browsing of related content and searching for exact products for shopping.
Performance Evaluation in Content-based Image Retrieval: Overview and Proposals
Henning Müller, Wolfgang Müller, David McG. Squire, Stéphane Marchand-Maillet, and Thierry Pun. 2001 · 2001
Earlier work this paper cites.
Learning a Similarity Metric Discriminatively, with Application to Face Verification. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) , Vol. 1. IEEE, 539–546
Sumit Chopra, Raia Hadsell, and Yann LeCun. 2005 · 2005
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. 2009 · 2009
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, S. Ilya, and G. E. Hinton. 2012 · 2012
Earlier work this paper cites.
Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items. In 2013 IEEE International Conference on Computer Vision (ICCV) , Vol. 00. 3519–3526
K. Yamaguchi, M. H. Kiapour, and T. L. Berg. 2013 · 2013
Earlier work this paper cites.
Deep metric learning using Triplet network
Elad Hoffer and Nir Ailon. 2014 · 2014
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman. 2014 · 2014
Earlier work this paper cites.
Learning Visual Similarity for Product Design with Convolutional Neural Networks
Sean Bell and Kavita Bala. 2015 · 2015
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
Earlier work this paper cites.
FaceNet: A Unified Embedding for Face Recognition and Clustering. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015 · 2015
Earlier work this paper cites.
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert. 2016 · 2016
Earlier work this paper cites.
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Kihyuk Sohn. 2016 · 2016
Earlier work this paper cites.
Deep Metric Learning via Lifted Structured Feature Embedding. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, and Silvio Savarese. 2016 · 2016
Cited alongside, same era.
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, and Andrew Rabinovich. 2017 · 2017
Cited alongside, same era.
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He. 2017 · 2017
Cited alongside, same era.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun. 2017 · 2017
Cited alongside, same era.
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Visual Search at eBay. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 . 2101–2110
Fan Yang, Ajinkya Kale, Yury Bubnov, Leon Stein, Qiaosong Wang, M. Hadi Kiapour, and Robinson Piramuthu. 2017 · 2017
Later among the works it cites.
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, and Trevor Darrell. 2017 · 2017
Later among the works it cites.
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. In Proceedings of the International Conference on World Wide Web
Jerry Zitao Liu Yuchen Liu Rahul Sharma Charles Sugnet Mark Ulrich Jure Leskovec Chantat Eksombatchai, Pranav Jindal. 2018 · 2018
Later among the works it cites.
Web-Scale Responsive Visual Search at Bing. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018 . 359–367
Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, and Arun Sacheti. 2018 · 2018
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Alex Kendall, Yarin Gal, and Roberto Cipolla. 2017 · 2017
Cited alongside, same era.
Related Pins at Pinterest: The Evolution of a Real-World Recommender System
David C. Liu, Stephanie Rogers, Raymond Shiau, Dmitry Kislyuk, Kevin C. Ma, Zhigang Zhong, Jenny Liu, and Yushi Jing. 2017 · 2017
Cited alongside, same era.
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, and Saurabh Singh. 2017 · 2017
Cited alongside, same era.
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren and Yong Jae Lee. 2017 · 2017
Cited alongside, same era.
Conditional Similarity Networks
Andreas Veit, Serge J. Belongie, and Theofanis Karaletsos. 2017 · 2017
Cited alongside, same era.
Sampling Matters in Deep Embedding Learning
Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, and Philipp Krähenbühl. 2017 · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 5987–5995
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He. 2017 · 2017
Cited alongside, same era.
Visual Search at Pinterest. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD)
Y. Jing, D. Liu, D. Kislyuk, A. Zhai, J. Xu, and J. Donahue. [n. d.]
Cited in the paper.
Later among the works it cites.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD)
Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec Rex Ying, Ruining He. 2018 · 2018
Later among the works it cites.
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Bin Yang Wenjie Luo and Raquel Urtasun. 2018 · 2018
Later among the works it cites.
Yuxin Wu and Kaiming He. 2018 · 2018
Later among the works it cites.
Taskonomy: Disentangling Task Transfer Learning
Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, and Silvio Savarese. 2018 · 2018
Later among the works it cites.
Making Classification Competitive for Deep Metric Learning
Andrew Zhai and Hao-Yu Wu. 2018 · 2018
Later among the works it cites.
Visual Search at Alibaba. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018 . 993–1001
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, and Rong Jin. 2018 · 2018
Later among the works it cites.
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. In ECCV
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, and Ying Wu. 2018 · 2018
Later among the works it cites.