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Cross-stitch Networks for Multi-task Learning

Cross-stitch Networks for Multi-task Learning

12 April 2016
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
ArXivPDFHTML

Papers citing "Cross-stitch Networks for Multi-task Learning"

15 / 215 papers shown
Title
Stacked Conditional Generative Adversarial Networks for Jointly Learning
  Shadow Detection and Shadow Removal
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Jifeng Wang
Xiang Li
Le Hui
Jian Yang
GAN
28
396
0
07 Dec 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
19
171
0
23 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
72
3,065
0
19 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
11
275
0
11 May 2017
Multi-Task Convolutional Neural Network for Pose-Invariant Face
  Recognition
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
Xi Yin
Xiaoming Liu
CVBM
50
283
0
15 Feb 2017
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
38
147
0
25 Jan 2017
ActionFlowNet: Learning Motion Representation for Action Recognition
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng
Jonghyun Choi
J. Neumann
L. Davis
28
117
0
09 Dec 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
21
384
0
16 Nov 2016
Learning to Push by Grasping: Using multiple tasks for effective
  learning
Learning to Push by Grasping: Using multiple tasks for effective learning
Lerrel Pinto
Abhinav Gupta
17
134
0
28 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
22
669
0
07 Sep 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
14
17
0
22 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
66
4,302
0
29 Jun 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
16
439
0
21 Mar 2016
Learning Multiple Tasks with Multilinear Relationship Networks
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Philip S. Yu
29
98
0
06 Jun 2015
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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