Going Deeper with Convolutions

17 September 2014

Papers citing "Going Deeper with Convolutions"

47 / 197 papers shown

Title
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,543 0 07 Oct 2016
A Tour of TensorFlow Peter Goldsborough VLM 53 92 0 01 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms Wei Dai Chia Dai Shuhui Qu Juncheng Billy Li Samarjit Das 105 344 0 01 Oct 2016
Understanding data augmentation for classification: when to warp? S. Wong Adam Gatt V. Stamatescu Mark D Mcdonnell 80 904 0 28 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 140 1,862 0 22 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 109 854 0 21 Sep 2016
Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network Valentin Peretroukhin Lee Clement Jonathan Kelly BDL 47 28 0 20 Sep 2016
Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis Hongwei Bran Li Wei-Shi Zheng Jianguo Zhang 57 15 0 20 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,931 0 16 Feb 2016
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification Jimmy S. J. Ren Yongtao Hu Yu-Wing Tai Chuan Wang Li Xu Wenxiu Sun Qiong Yan 67 108 0 13 Feb 2016
Face Attribute Prediction Using Off-the-Shelf CNN Features Yang Zhong Josephine Sullivan Haibo Li CVBM 65 102 0 12 Feb 2016
DAP3D-Net: Where, What and How Actions Occur in Videos? Li Liu Yi Zhou Ling Shao 57 14 0 10 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 115 364 0 08 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild Yang Zhong Josephine Sullivan Haibo Li 3DH CVBM 59 43 0 04 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation Guosen Xie Xu-Yao Zhang Shuicheng Yan Cheng-Lin Liu ObjD 69 150 0 29 Jan 2016
DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai Xiangmin Xu Kui Jia Chunmei Qing Dacheng Tao 184 2,427 0 28 Jan 2016
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors Lingqiao Liu Chunhua Shen Lei Wang Anton Van Den Hengel Chao Wang 60 87 0 24 Nov 2014
Part-based R-CNNs for Fine-grained Category Detection Ning Zhang Jeff Donahue Ross B. Girshick Trevor Darrell ObjD 112 1,223 0 15 Jul 2014
Simultaneous Detection and Segmentation Bharath Hariharan Pablo Arbeláez Ross B. Girshick Jitendra Malik ObjD ISeg 133 1,294 0 07 Jul 2014
R-CNNs for Pose Estimation and Action Detection Georgia Gkioxari Bharath Hariharan Ross B. Girshick Jitendra Malik 67 159 0 19 Jun 2014
Two-Stream Convolutional Networks for Action Recognition in Videos Karen Simonyan Andrew Zisserman 237 7,535 0 09 Jun 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 389 43,619 0 01 May 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik 176 1,090 0 07 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 149 5,004 0 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 303 7,289 0 20 Dec 2013
Some Improvements on Deep Convolutional Neural Network Based Image Classification Andrew G. Howard VLM 132 434 0 19 Dec 2013
DeepPose: Human Pose Estimation via Deep Neural Networks Alexander Toshev Christian Szegedy 3DH 177 2,773 0 17 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 289 6,274 0 16 Dec 2013
Scalable Object Detection using Deep Neural Networks D. Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov ObjD 112 1,165 0 08 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 574 15,874 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 280 26,168 0 11 Nov 2013
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 92 335 0 23 Oct 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 371 33,520 0 16 Oct 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 176 4,949 0 06 Oct 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 190 1,317 0 03 Jun 2013
A Survey on Multi-view Learning Chang Xu Dacheng Tao Chao Xu AI4TS 101 1,128 0 20 Apr 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 644 31,490 0 16 Jan 2013
Coupled quasi-harmonic bases Artiom Kovnatsky M. Bronstein A. Bronstein K. Glashoff Ron Kimmel 106 200 0 28 Sep 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 443 7,660 0 03 Jul 2012
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts M. P. Kumar D. Koller 73 39 0 09 May 2012
A Convex Formulation for Learning Task Relationships in Multi-Task Learning Yu Zhang Dit-Yan Yeung 106 461 0 15 Mar 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications Ehsan Elhamifar René Vidal 102 2,332 0 05 Mar 2012
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 205 925 0 30 Jun 2011
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization W. Dong Lei Zhang Guangming Shi Xiaolin Wu 92 1,354 0 06 Dec 2010
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 117 509 0 11 Sep 2008
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples Zhi Zhou Yu-Yin Sun Yu-Feng Li 120 478 0 12 Jul 2008
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 229 2,355 0 15 May 2008