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Contextual Classification Using Self-Supervised Auxiliary Models for
  Deep Neural Networks

Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks

7 January 2021
Sebastián M. Palacio
P. Engler
Jörn Hees
Andreas Dengel
ArXiv (abs)PDFHTML

Papers citing "Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks"

21 / 21 papers shown
Title
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
Duo Li
Qifeng Chen
236
19
0
24 Mar 2020
Complement Objective Training
Complement Objective Training
Hao-Yun Chen
Pei-Hsin Wang
Chun-Hao Liu
Shih-Chieh Chang
Jia Pan
Yutian Chen
Wei Wei
Da-Cheng Juan
AAML
43
48
0
04 Mar 2019
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
79
377
0
25 Jun 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,557
0
05 Sep 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
SSLDRL
77
536
0
03 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
186
5,607
0
21 Jul 2017
One Model To Learn Them All
One Model To Learn Them All
Lukasz Kaiser
Aidan Gomez
Noam M. Shazeer
Ashish Vaswani
Niki Parmar
Llion Jones
Jakob Uszkoreit
VLMViT
80
334
0
16 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAIFaML
405
3,813
0
28 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
793
36,881
0
25 Aug 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
95
143
0
21 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
353
8,000
0
23 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,338
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
364
19,733
0
09 Mar 2015
Towards Open World Recognition
Towards Open World Recognition
Abhijit Bendale
Terrance Boult
84
566
0
18 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
350
2,243
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
488
43,694
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
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
VLMObjD
1.7K
39,595
0
01 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1