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Patch Correspondences for Interpreting Pixel-level CNNs

Patch Correspondences for Interpreting Pixel-level CNNs

29 November 2017
Victor Fragoso
Chunhui Liu
Aayush Bansal
Deva Ramanan
ArXivPDFHTML

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
VGen
DiffM
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
3DV
GAN
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
FAtt
GAN
OOD
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
VLM
MDE
209
2,680
0
18 Nov 2014
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