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Designing Network Design Spaces

Mar 30, 2020
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, Piotr Dollár

* 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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LVIS: A Dataset for Large Vocabulary Instance Segmentation

Sep 15, 2019
Agrim Gupta, Piotr Dollár, Ross Girshick

* Extension of the CVPR'19 paper describing release v0.5, the LVIS Challenge, and baseline results 

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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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TensorMask: A Foundation for Dense Object Segmentation

Mar 28, 2019
Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollár

* 12 pages, technical report 

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Panoptic Feature Pyramid Networks

Jan 08, 2019
Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár

* tech report 

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Rethinking ImageNet Pre-training

Nov 21, 2018
Kaiming He, Ross Girshick, Piotr Dollár

* Technical report 

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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Apr 30, 2018
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

* Tech report (v2: correct typos) 

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Panoptic Segmentation

Apr 14, 2018
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

* update of related work and metric details 

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Learning to Segment Every Thing

Mar 27, 2018
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick

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Detecting and Recognizing Human-Object Interactions

Mar 27, 2018
Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

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Focal Loss for Dense Object Detection

Feb 07, 2018
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

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Mask R-CNN

Jan 24, 2018
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

* open source; appendix on more results 

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Data Distillation: Towards Omni-Supervised Learning

Dec 12, 2017
Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

* tech report 

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Feature Pyramid Networks for Object Detection

Apr 19, 2017
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

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Learning Features by Watching Objects Move

Apr 12, 2017
Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan

* CVPR 2017 

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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: 

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Semantic Amodal Segmentation

Dec 14, 2016
Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr Dollár

* major update including new COCO data, metrics, and baselines 

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A MultiPath Network for Object Detection

Aug 08, 2016
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

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Unsupervised Learning of Edges

Apr 10, 2016
Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár

* Camera ready version for CVPR 2016 

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What makes for effective detection proposals?

Aug 01, 2015
Jan Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele

* TPAMI final version, duplicate proposals removed in experiments 

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From Captions to Visual Concepts and Back

Apr 14, 2015
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

* version corresponding to CVPR15 paper 

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Microsoft COCO: Common Objects in Context

Feb 21, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

* 1) updated annotation pipeline description and figures; 2) added new section describing datasets splits; 3) updated author list 

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Fast Edge Detection Using Structured Forests

Nov 25, 2014
Piotr Dollár, C. Lawrence Zitnick

* update corresponding to acceptance to PAMI 

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Local Decorrelation For Improved Detection

Nov 04, 2014
Woonhyun Nam, Piotr Dollár, Joon Hee Han

* To appear in Neural Information Processing Systems (NIPS), 2014 

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