Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons

18 April 2019

Papers citing "Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons"

7 / 7 papers shown

Title
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 45 299 0 23 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 181 19,284 0 13 Jan 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 174 5,603 0 21 Jul 2017
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection C. Caetano Sandra Avila William Robson Schwartz S. Guimarães A. Araújo 27 45 0 12 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,486 0 24 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
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 465 43,658 0 17 Sep 2014