Rethinking ImageNet Pre-training

Rethinking ImageNet Pre-training

21 November 2018

Ross B. Girshick

Piotr Dollár

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Papers citing "Rethinking ImageNet Pre-training"

7 / 507 papers shown

Title
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 241 1,706 0 16 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 92 987 0 14 Feb 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 95 727 0 28 Jan 2019
Is Pretraining Necessary for Hyperspectral Image Classification? Hyungtae Lee Sungmin Eum H. Kwon SSeg 35 14 0 24 Jan 2019
Improved Selective Refinement Network for Face Detection Shifeng Zhang Rui Zhu Xiaobo Wang Hailin Shi Tianyu Fu Shuo Wang Tao Mei Stan Z. Li CVBM 101 34 0 20 Jan 2019
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 80 31 0 10 Oct 2018
Object Detection from Scratch with Deep Supervision Zhiqiang Shen Zhuang Liu Jianguo Li Yu-Gang Jiang Yurong Chen Xiangyang Xue ObjD 95 79 0 25 Sep 2018