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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction

29 November 2016
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
    SSL
    DRL
ArXivPDFHTML

Papers citing "Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction"

37 / 187 papers shown
Title
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
50
11,849
0
13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
19
379
0
27 Oct 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
47
1,031
0
23 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
22
168
0
08 Oct 2019
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora
S. Du
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
Dingli Yu
AAML
19
161
0
03 Oct 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
8
327
0
28 Jul 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
21
269
0
27 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
69
542
0
04 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
61
2,367
0
13 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
27
652
0
09 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
24
396
0
03 May 2019
Unsupervised Deep Learning by Neighbourhood Discovery
Unsupervised Deep Learning by Neighbourhood Discovery
Jiabo Huang
Qi Dong
S. Gong
Xiatian Zhu
SSL
27
152
0
25 Apr 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang
Alex Zhai
Daniel L. K. Yamins
SSL
44
444
0
29 Mar 2019
Self-Supervised Learning via Conditional Motion Propagation
Self-Supervised Learning via Conditional Motion Propagation
Xiaohang Zhan
Xingang Pan
Ziwei Liu
Dahua Lin
Chen Change Loy
SSL
42
47
0
27 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
21
42
0
23 Mar 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding
  Transformations rather than Data
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Liheng Zhang
Guo-Jun Qi
Liqiang Wang
Jiebo Luo
14
202
0
14 Jan 2019
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
31
229
0
04 Oct 2018
Self-supervised learning of a facial attribute embedding from video
Self-supervised learning of a facial attribute embedding from video
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
SSL
24
132
0
21 Aug 2018
Unsupervised learning of foreground object detection
Unsupervised learning of foreground object detection
Ioana Croitoru
Simion-Vlad Bogolin
Marius Leordeanu
OCL
28
48
0
14 Aug 2018
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship
  Features
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Xu Yang
Hanwang Zhang
Jianfei Cai
44
74
0
01 Aug 2018
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
27
375
0
25 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
150
127
0
13 Jun 2018
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Minyoung Huh
Andrew Liu
Andrew Owens
Alexei A. Efros
SSL
33
381
0
10 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
34
3,410
0
05 May 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
212
292
0
01 May 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
24
32
0
05 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual
  Learning
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens
Jiajun Wu
Josh H. McDermott
William T. Freeman
Antonio Torralba
SSL
41
177
0
20 Dec 2017
Self-Supervised Relative Depth Learning for Urban Scene Understanding
Self-Supervised Relative Depth Learning for Urban Scene Understanding
Huaizu Jiang
Erik Learned-Miller
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
OOD
SSL
26
9
0
13 Dec 2017
Interpreting Deep Visual Representations via Network Dissection
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou
David Bau
A. Oliva
Antonio Torralba
FAtt
MILM
29
323
0
15 Nov 2017
Transitive Invariance for Self-supervised Visual Representation Learning
Transitive Invariance for Self-supervised Visual Representation Learning
Xinyu Wang
Kaiming He
Abhinav Gupta
OOD
SSL
19
179
0
09 Aug 2017
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSL
DRL
20
533
0
03 Aug 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
65
493
0
11 Mar 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
36
522
0
19 Dec 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
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