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CNN Fixations: An unraveling approach to visualize the discriminative image regions
22 August 2017
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
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Papers citing
"CNN Fixations: An unraveling approach to visualize the discriminative image regions"
27 / 27 papers shown
Title
Fast Feature Fool: A data independent approach to universal adversarial perturbations
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Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
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Max Welling
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
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Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
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0
07 Oct 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
111
854
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21 Sep 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
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25 Aug 2016
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition
Ravi Kiran Sarvadevabhatla
Jogendra Nath Kundu
R. Venkatesh Babu
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11 Aug 2016
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
81
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01 Aug 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He
Yan Wang
John E. Hopcroft
110
77
0
15 Jun 2016
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
154
2,418
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12 Apr 2016
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
67
123
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12 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
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...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
276
11,151
0
14 Mar 2016
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,326
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14 Dec 2015
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
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10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks
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Alhussein Fawzi
P. Frossard
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151
4,897
0
14 Nov 2015
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
94
802
0
20 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
520
62,294
0
04 Jun 2015
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,672
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21 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
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20 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
140
5,590
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07 Dec 2014
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
Self-taught Object Localization with Deep Networks
Loris Bazzani
Alessandro Bergamo
Dragomir Anguelov
Lorenzo Torresani
SSL
ObjD
71
154
0
13 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,386
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,547
0
01 Sep 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
274
14,711
0
20 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
413
43,667
0
01 May 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,308
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,893
0
12 Nov 2013
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