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Patch Correspondences for Interpreting Pixel-level CNNs
v1v2v3v4 (latest)

Patch Correspondences for Interpreting Pixel-level CNNs

29 November 2017
Victor Fragoso
Chunhui Liu
Aayush Bansal
Deva Ramanan
ArXiv (abs)PDFHTML

Papers citing "Patch Correspondences for Interpreting Pixel-level CNNs"

11 / 11 papers shown
Title
Recycle-GAN: Unsupervised Video Retargeting
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal
Shugao Ma
Deva Ramanan
Yaser Sheikh
VGenDiffM
76
297
0
15 Aug 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters
  in Deep Neural Networks
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
Ruth C. Fong
Andrea Vedaldi
FAtt
71
264
0
10 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
174
3,940
0
30 Nov 2017
PixelNN: Example-based Image Synthesis
PixelNN: Example-based Image Synthesis
Aayush Bansal
Yaser Sheikh
Deva Ramanan
3DVGAN
53
47
0
17 Aug 2017
Visual Attribute Transfer through Deep Image Analogy
Visual Attribute Transfer through Deep Image Analogy
Jing Liao
Yuan Yao
Lu Yuan
G. Hua
S. B. Kang
FAttGANOOD
72
520
0
02 May 2017
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
180
3,701
0
10 Jun 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Aravindh Mahendran
Andrea Vedaldi
FAtt
71
534
0
07 Dec 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
135
3,494
0
24 Apr 2015
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
145
1,283
0
22 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
209
2,680
0
18 Nov 2014
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