From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

12 April 2016

Papers citing "From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction"

21 / 21 papers shown

Title
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 735 37,846 0 20 May 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 107 547 0 29 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks Quanzeng You Jiebo Luo Hailin Jin Jianchao Yang 62 535 0 20 Sep 2015
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction Victor Campos Amaia Salvador Brendan Jou Xavier Giró-i-Nieto HAI 49 84 0 20 Aug 2015
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology Brendan Jou Tao Chen Nikolaos Pappas Miriam Redi Mercan Topkara Shih-Fu Chang 47 127 0 16 Aug 2015
Cultural Event Recognition with Visual ConvNets and Temporal Models Amaia Salvador Matthias Zeppelzauer Daniel Manchon-Vizuete Andrea Calafell Xavier Giró-i-Nieto 35 35 0 24 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,613 0 06 Feb 2015
Visual Sentiment Prediction with Deep Convolutional Neural Networks Can Xu Suleyman Cetintas Kuang-chih Lee Li Li HAI 38 127 0 21 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks Tao Chen Damian Borth Trevor Darrell Shih-Fu Chang 64 283 0 30 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross B. Girshick Jitendra Malik SSL 107 444 0 07 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 271 14,710 0 20 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 215 3,418 0 14 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 157 4,939 0 23 Mar 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 268 14,912 1 21 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 591 15,876 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,181 0 11 Nov 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
Deep Learning using Linear Support Vector Machines Yichuan Tang 95 894 0 02 Jun 2013