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UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial
  Cross-Task Distillation

UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation

11 August 2019
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
ArXivPDFHTML

Papers citing "UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation"

50 / 54 papers shown
Title
Unsupervised Feature Learning of Human Actions as Trajectories in Pose
  Embedding Manifold
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold
Jogendra Nath Kundu
Maharshi Gor
P. Uppala
R. Venkatesh Babu
39
63
0
06 Dec 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
46
1,036
0
28 Mar 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
57
185
0
05 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
101
1,535
0
28 Feb 2018
Image to Image Translation for Domain Adaptation
Image to Image Translation for Domain Adaptation
Zak Murez
Soheil Kolouri
D. Kriegman
R. Ramamoorthi
Kyungnam Kim
OOD
38
528
0
01 Dec 2017
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic
  Imagery
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren
Yong Jae Lee
SSL
OOD
53
212
0
24 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
109
2,985
0
08 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
95
1,272
0
07 Nov 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
43
631
0
25 Aug 2017
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning
  Approach
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Hu Han
Anil K. Jain
F. Wang
Shiguang Shan
Xilin Chen
CVBM
51
277
0
03 Jun 2017
Recurrent Scene Parsing with Perspective Understanding in the Loop
Recurrent Scene Parsing with Perspective Understanding in the Loop
Shu Kong
Charless C. Fowlkes
SSeg
MDE
26
105
0
20 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
181
3,093
0
19 May 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
107
341
0
27 Apr 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
98
2,564
0
25 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
122
9,509
0
31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
84
5,556
0
30 Mar 2017
Analyzing Modular CNN Architectures for Joint Depth Prediction and
  Semantic Segmentation
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
O. Jafari
Oliver Groth
Alexander Kirillov
M. Yang
Carsten Rother
3DV
38
63
0
26 Feb 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
186
4,638
0
17 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
49
507
0
17 Feb 2017
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
35
260
0
22 Dec 2016
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
58
523
0
19 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
124
1,534
0
16 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
54
787
0
08 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
280
19,560
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
227
2,835
0
20 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
70
575
0
05 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
102
2,875
0
13 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
116
1,112
0
11 Sep 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
98
1,998
0
07 Aug 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
54
3,123
0
06 Jul 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
353
8,999
0
10 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
163
1,823
0
01 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
278
37,704
0
20 May 2016
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional
  Networks
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian
Hamed Pirsiavash
Jana Kosecka
SSeg
54
152
0
25 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
64
1,339
0
12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
571
11,540
0
06 Apr 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
73
1,222
0
03 Mar 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
68
1,484
0
14 Feb 2016
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
48
1,367
0
08 Oct 2015
Domain Generalization for Object Recognition with Multi-task
  Autoencoders
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
ViT
OOD
57
657
0
31 Aug 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
388
61,900
0
04 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
326
9,418
0
28 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
85
3,479
0
24 Apr 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
104
923
0
04 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
186
19,448
0
09 Mar 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
168
5,163
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
143
2,588
0
10 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu
Chunhua Shen
Guosheng Lin
MDE
112
890
0
24 Nov 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
202
353
0
18 Nov 2014
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