Recurrent Segmentation for Variable Computational Budgets

28 November 2017

Papers citing "Recurrent Segmentation for Variable Computational Budgets"

24 / 24 papers shown

Title
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 172 5,596 0 21 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 225 8,470 0 17 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 233 4,632 0 16 Apr 2017
Deep Watershed Transform for Instance Segmentation Min Bai R. Urtasun ISeg SSeg 113 523 0 24 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 894 6,788 0 26 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,686 0 15 Sep 2016
Bridging Category-level and Instance-level Semantic Image Segmentation Zifeng Wu Chunhua Shen Anton Van Den Hengel ISeg SSeg 141 161 0 23 May 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 97 4,167 0 25 Apr 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 107 547 0 29 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,246 0 03 Dec 2015
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 214 371 0 10 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 554 7,989 0 13 Jun 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 232 4,177 0 17 May 2015
Efficient piecewise training of deep structured models for semantic segmentation Guosheng Lin Chunhua Shen Anton van dan Hengel Ian Reid VLM SSeg 133 924 0 04 Apr 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation Jifeng Dai Kaiming He Jian Sun 185 1,045 0 05 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 161 1,962 0 16 Feb 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 238 2,536 0 11 Feb 2015
Feedforward semantic segmentation with zoom-out features Mohammadreza Mostajabi Payman Yadollahpour Gregory Shakhnarovich MDE SSeg 157 474 0 02 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 207 2,679 0 18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 217 4,054 0 09 Jun 2014
Scalable Object Detection using Deep Neural Networks D. Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov ObjD 112 1,165 0 08 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 178 4,949 0 06 Oct 2013
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks Alessandro Giusti D. Ciresan Jonathan Masci L. Gambardella Jürgen Schmidhuber 169 347 0 07 Feb 2013