v1v2 (latest)

EvalNorm: Estimating Batch Normalization Statistics for Evaluation

12 April 2019

Papers citing "EvalNorm: Estimating Batch Normalization Statistics for Evaluation"

22 / 22 papers shown

Title
PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer BDL 81 16 0 17 Mar 2020
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 69 665 0 20 Apr 2018
Group Normalization Yuxin Wu Kaiming He 231 3,660 0 22 Mar 2018
MegDet: A Large Mini-Batch Object Detector Chao Peng Tete Xiao Zeming Li Yuning Jiang Xiangyu Zhang Kai Jia Gang Yu Jian Sun ObjD 179 318 0 20 Nov 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models Sergey Ioffe BDL 61 540 0 10 Feb 2017
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 96 2,572 0 30 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 72 81 0 14 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 177 3,708 0 27 Jul 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 151 2,418 0 12 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks Devansh Arpit Yingbo Zhou Bhargava U. Kota V. Govindaraju 65 127 0 04 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 194 1,942 0 25 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,294 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 306 25,059 0 30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 468 43,658 0 17 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,193 0 11 Nov 2013