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An Empirical Study of Training Self-Supervised Vision Transformers


May 05, 2021
Xinlei Chen, Saining Xie, Kaiming He

* Technical report, 10 pages. v2: corrected "Visual Transformer" to "Vision Transformer" 

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Pri3D: Can 3D Priors Help 2D Representation Learning?


Apr 22, 2021
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nie├čner


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An Empirical Study of Training Self-Supervised Visual Transformers


Apr 05, 2021
Xinlei Chen, Saining Xie, Kaiming He

* Technical report, 10 pages 

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On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness


Feb 22, 2021
Eric Mintun, Alexander Kirillov, Saining Xie

* 8+13 pages, 6+10 figures 

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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts


Dec 16, 2020
Ji Hou, Benjamin Graham, Matthias Nie├čner, Saining Xie

* project page: https://sekunde.github.io/project_efficient/ 

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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding


Jul 22, 2020
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

* ECCV 2020 (Spotlight) 

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Graph Structure of Neural Networks


Jul 13, 2020
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

* ICML 2020 

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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions


Apr 12, 2020
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

* 8 pages, 10 figures, accepted to CVPR 2020 

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Are Labels Necessary for Neural Architecture Search?


Mar 26, 2020
Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie


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Momentum Contrast for Unsupervised Visual Representation Learning


Nov 14, 2019
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick

* Technical report 

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Decoupling Representation and Classifier for Long-Tailed Recognition


Oct 21, 2019
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis


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Sample-Efficient Neural Architecture Search by Learning Action Space


Jun 17, 2019
Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian


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On Network Design Spaces for Visual Recognition


May 30, 2019
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár

* tech report 

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Exploring Randomly Wired Neural Networks for Image Recognition


Apr 08, 2019
Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He

* Technical report 

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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification


Jul 27, 2018
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

* ECCV 2018 camera ready 

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Aggregated Residual Transformations for Deep Neural Networks


Apr 11, 2017
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

* Accepted to CVPR 2017. Code and models: https://github.com/facebookresearch/ResNeXt 

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Top-Down Learning for Structured Labeling with Convolutional Pseudoprior


Jul 26, 2016
Saining Xie, Xun Huang, Zhuowen Tu

* To appear in ECCV 2016, 16 pages, 6 figures 

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Holistically-Nested Edge Detection


Oct 04, 2015
Saining Xie, Zhuowen Tu

* v2 Add appendix A for updated results (ODS=0.790) on BSDS-500 in a new experiment setting. Fix typos and reorganize formulations. Add Table 2 to discuss the role of deep supervision. Add links to publicly available repository for code, models and data 

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Deeply-Supervised Nets


Sep 25, 2014
Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu

* Patent disclosure, UCSD Docket No. SD2014-313, filed on May 22, 2014 

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