Deeply learned face representations are sparse, selective, and robust

3 December 2014

Papers citing "Deeply learned face representations are sparse, selective, and robust"

10 / 10 papers shown

Title
APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning Ravin Kumar 76 5 0 10 Sep 2022
Towards End-to-End Face Recognition through Alignment Learning Yuanyi Zhong Jiansheng Chen Bo Huang CVBM 3DV 105 60 0 25 Jan 2017
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross B. Girshick Jitendra Malik SSL 134 444 0 07 Jul 2014
Web-Scale Training for Face Identification Yaniv Taigman Ming Yang MarcÁurelio Ranzato Lior Wolf CVBM 91 264 0 20 Jun 2014
Deep Learning Face Representation by Joint Identification-Verification Yi Sun Xiaogang Wang Xiaoou Tang CVBM 232 2,246 0 18 Jun 2014
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace Chaochao Lu Xiaoou Tang CVBM 153 336 0 15 Apr 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang Manohar Paluri MarcÁurelio Ranzato Trevor Darrell Lubomir D. Bourdev CVBM 152 531 0 21 Nov 2013
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval Chang Huang Shenghuo Zhu Kai Yu 94 71 0 25 Dec 2012
Deep Attribute Networks Junyoung Chung Donghoon Lee Youngjoo Seo Chang D. Yoo CVBM 97 27 0 13 Nov 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 465 7,673 0 03 Jul 2012