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Semi-supervised Multi-task Learning for Semantics and Depth

Semi-supervised Multi-task Learning for Semantics and Depth

14 October 2021
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
ArXivPDFHTML

Papers citing "Semi-supervised Multi-task Learning for Semantics and Depth"

49 / 49 papers shown
Title
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Pavan Kumar Anasosalu Vasu
Shreyas Saxena
Oncel Tuzel
24
5
0
11 Jun 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse
Ying Wang
Yizhe Zhang
Fatih Porikli
41
114
0
06 Apr 2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A
  Multi-Task Learning Framework
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
Zhizhong Huang
Junping Zhang
Hongming Shan
CVBM
40
77
0
02 Mar 2021
Densely connected multidilated convolutional networks for dense
  prediction tasks
Densely connected multidilated convolutional networks for dense prediction tasks
Naoya Takahashi
Yuki Mitsufuji
3DV
33
65
0
21 Nov 2020
Joint Semantic Segmentation and Boundary Detection using Iterative
  Pyramid Contexts
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
Mingmin Zhen
Jinglu Wang
Lei Zhou
Shiwei Li
Tianwei Shen
Jiaxiang Shang
Tian Fang
Quan Long
41
129
0
16 Apr 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
35
221
0
19 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
106
1,190
0
19 Jan 2020
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
52
285
0
08 Jun 2019
Bridging Stereo Matching and Optical Flow via Spatiotemporal
  Correspondence
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
Hsueh-Ying Lai
Yi-Hsuan Tsai
Wei-Chen Chiu
45
80
0
22 May 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
155
249
0
18 Apr 2019
Learning Across Tasks and Domains
Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
Samuele Salti
Luigi Di Stefano
40
32
0
09 Apr 2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by
  a Multi-Task Geometric and Semantic Scene Understanding Approach
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Amir Atapour-Abarghouei
T. Breckon
MDE
45
34
0
26 Mar 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
53
421
0
27 Feb 2019
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
Magnus Wrenninge
Jonas Unger
48
185
0
19 Oct 2018
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
112
1,266
0
10 Oct 2018
Geometry meets semantics for semi-supervised monocular depth estimation
Geometry meets semantics for semi-supervised monocular depth estimation
Pierluigi Zama Ramirez
Matteo Poggi
Fabio Tosi
S. Mattoccia
Luigi Di Stefano
MDE
57
112
0
09 Oct 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
58
472
0
05 Sep 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
46
477
0
11 May 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
76
1,209
0
23 Apr 2018
Structured Attention Guided Convolutional Neural Fields for Monocular
  Depth Estimation
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Dan Xu
Wei Wang
Hao Tang
Hong Liu
N. Sebe
Elisa Ricci
MDE
39
305
0
29 Mar 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
77
1,245
0
23 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
108
1,535
0
28 Feb 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GAN
SSeg
95
549
0
22 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
135
4,421
0
16 Feb 2018
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
55
212
0
24 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
105
1,273
0
07 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
47
242
0
01 Nov 2017
Adversarial Learning of Structure-Aware Fully Convolutional Networks for
  Landmark Localization
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Yu Chen
Chunhua Shen
Hao Chen
Xiu-Shen Wei
Lingqiao Liu
Jian Yang
GAN
48
42
0
01 Nov 2017
Scene Parsing with Global Context Embedding
Scene Parsing with Global Context Embedding
Wei-Chih Hung
Yi-Hsuan Tsai
Xiaohui Shen
Zhe Lin
Kalyan Sunkavalli
Xin Lu
Ming-Hsuan Yang
90
55
0
17 Oct 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
341
2,196
0
25 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
93
2,817
0
15 Jun 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
193
3,101
0
19 May 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
356
11,941
0
04 Dec 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
104
2,875
0
13 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
105
672
0
07 Sep 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
241
4,357
0
29 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
185
18,136
0
02 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
197
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
315
37,704
0
20 May 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
66
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
669
11,540
0
06 Apr 2016
Multi-Task Learning with Labeled and Unlabeled Tasks
Multi-Task Learning with Labeled and Unlabeled Tasks
Anastasia Pentina
Christoph H. Lampert
OffRL
39
37
0
21 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
232
13,968
0
19 Nov 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
67
1,369
0
09 Jul 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
84
338
0
16 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
813
149,474
0
22 Dec 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
157
4,041
0
09 Jun 2014
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