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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

19 May 2017
Alex Kendall
Y. Gal
R. Cipolla
    3DH
ArXivPDFHTML

Papers citing "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics"

50 / 1,293 papers shown
Title
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
Han Guo
Ramakanth Pasunuru
Mohit Bansal
14
47
0
08 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
12
145
0
05 Apr 2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
ObjD
14
1,286
0
04 Apr 2019
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan
  Image Analysis
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis
Ahti Kalervo
Juha Ylioinas
Markus Häikiö
Antti Karhu
Juho Kannala
3DV
17
95
0
03 Apr 2019
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
3DV
11
190
0
03 Apr 2019
Graph Convolution for Multimodal Information Extraction from Visually
  Rich Documents
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
Xiaojing Liu
Feiyu Gao
Qiong Zhang
Huasha Zhao
20
181
0
27 Mar 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
17
34
0
26 Mar 2019
A Principled Approach for Learning Task Similarity in Multitask Learning
A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui
Mahdieh Abbasi
Louis-Émile Robitaille
Boyu Wang
Christian Gagné
16
56
0
21 Mar 2019
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded
  Scene Representations
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations
Shuaifeng Zhi
Michael Bloesch
Stefan Leutenegger
Andrew J. Davison
3DV
26
76
0
15 Mar 2019
An End-to-End Network for Panoptic Segmentation
An End-to-End Network for Panoptic Segmentation
Huanyu Liu
Chao Peng
Changqian Yu
Jingbo Wang
Xuantong Liu
Gang Yu
Wei Jiang
ISeg
16
148
0
12 Mar 2019
Mix and match networks: cross-modal alignment for zero-pair
  image-to-image translation
Mix and match networks: cross-modal alignment for zero-pair image-to-image translation
Yaxing Wang
Luis Herranz
Joost van de Weijer
11
4
0
08 Mar 2019
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching
  and Edge Detection
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Xiao-yang Song
Xu Zhao
Liangji Fang
Hanwen Hu
11
166
0
05 Mar 2019
Visual-based Autonomous Driving Deployment from a Stochastic and
  Uncertainty-aware Perspective
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective
L. Tai
Peng Yun
Yuying Chen
Congcong Liu
Haoyang Ye
Ming-Yu Liu
14
0
0
03 Mar 2019
Stereo R-CNN based 3D Object Detection for Autonomous Driving
Stereo R-CNN based 3D Object Detection for Autonomous Driving
Peiliang Li
Xiaozhi Chen
Shaojie Shen
3DPC
6
514
0
26 Feb 2019
The MBPEP: a deep ensemble pruning algorithm providing high quality
  uncertainty prediction
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
Ruihan Hu
Qijun Huang
Sheng Chang
Hao Wang
Jin He
UQCV
6
32
0
25 Feb 2019
DeeperLab: Single-Shot Image Parser
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang
Maxwell D. Collins
Yukun Zhu
Jyh-Jing Hwang
Ting Liu
Xiao Zhang
Vivienne Sze
George Papandreou
Liang-Chieh Chen
SSeg
VLM
26
189
0
13 Feb 2019
NeurAll: Towards a Unified Visual Perception Model for Automated Driving
NeurAll: Towards a Unified Visual Perception Model for Automated Driving
Ganesh Sistu
Isabelle Leang
Sumanth Chennupati
S. Yogamani
Ciarán Hughes
Stefan Milz
S. Rawashdeh
20
26
0
10 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
6
110
0
08 Feb 2019
Attention in Natural Language Processing
Attention in Natural Language Processing
Andrea Galassi
Marco Lippi
Paolo Torroni
GNN
20
467
0
04 Feb 2019
Instance Segmentation as Image Segmentation Annotation
Instance Segmentation as Image Segmentation Annotation
Thomio Watanabe
D. Wolf
SSeg
16
5
0
01 Feb 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Xitong Yang
Teruhisa Misu
L. Davis
UQCV
12
9
0
23 Jan 2019
Striking the Right Balance with Uncertainty
Striking the Right Balance with Uncertainty
Salman Khan
Munawar Hayat
Waqas Zamir
Jianbing Shen
Ling Shao
15
174
0
22 Jan 2019
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated
  Driving
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
Sumanth Chennupati
Ganesh Sistu
S. Yogamani
S. Rawashdeh
9
46
0
17 Jan 2019
Monocular Outdoor Semantic Mapping with a Multi-task Network
Monocular Outdoor Semantic Mapping with a Multi-task Network
Yucai Bai
Lei Fan
Ziyu Pan
Long Chen
8
0
0
17 Jan 2019
Auto-Retoucher(ART) - A framework for Background Replacement and Image
  Editing
Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing
Yunxuan Xiao
Yikai Li
Yuwei Wu
Lizhen Zhu
DiffM
3DH
12
1
0
13 Jan 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu
Jinwei Gu
Kihwan Kim
S. Narasimhan
Jan Kautz
3DV
12
136
0
09 Jan 2019
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
SSeg
23
1,266
0
08 Jan 2019
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
Shusil Dangi
Cristian A. Linte
Z. Yaniv
17
69
0
04 Jan 2019
Attend, Copy, Parse -- End-to-end information extraction from documents
Attend, Copy, Parse -- End-to-end information extraction from documents
Rasmus Berg Palm
Florian Laws
Ole Winther
9
58
0
18 Dec 2018
Learning Semantic Segmentation from Synthetic Data: A Geometrically
  Guided Input-Output Adaptation Approach
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Yuhua Chen
Wen Li
Xiaoran Chen
Luc Van Gool
16
245
0
12 Dec 2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Kohei Watanabe
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
MDE
19
11
0
11 Dec 2018
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin
César Cadena
Roland Siegwart
Marcin Dymczyk
3DV
10
862
0
09 Dec 2018
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
Fabian Manhardt
Wadim Kehl
Adrien Gaidon
3DPC
3DH
22
270
0
06 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
27
155
0
05 Dec 2018
Learning to Fuse Things and Stuff
Learning to Fuse Things and Stuff
Jie Li
Allan Raventos
Arjun Bhargava
Takaaki Tagawa
Adrien Gaidon
25
104
0
04 Dec 2018
Universal Perturbation Attack Against Image Retrieval
Universal Perturbation Attack Against Image Retrieval
Jie Li
R. Ji
Hong Liu
Xiaopeng Hong
Yue Gao
Q. Tian
AAML
21
98
0
03 Dec 2018
Multi-task Learning of Hierarchical Vision-Language Representation
Multi-task Learning of Hierarchical Vision-Language Representation
Duy-Kien Nguyen
Takayuki Okatani
23
51
0
03 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCV
BDL
29
220
0
30 Nov 2018
Incremental Scene Synthesis
Incremental Scene Synthesis
Benjamin Planche
Xuejian Rong
Ziyan Wu
Srikrishna Karanam
H. Kosch
Yingli Tian
Jan Ernst
Andreas Hutter
11
7
0
29 Nov 2018
On the Inductive Bias of Word-Character-Level Multi-Task Learning for
  Speech Recognition
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
Jan Kremer
Lasse Borgholt
Lars Maaløe
18
6
0
28 Nov 2018
Uncertainty aware audiovisual activity recognition using deep Bayesian
  variational inference
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference
Mahesh Subedar
R. Krishnan
P. López-Meyer
Omesh Tickoo
Jonathan Huang
BDL
EDL
UQCV
12
0
0
27 Nov 2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with
  Multitask Learning for Material Property Prediction
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal
J. Balachandran
N. Yadati
Abhishek Kumar
Padmini Rajagopalan
Suchismita Sanyal
Partha P. Talukdar
11
48
0
14 Nov 2018
Scene Text Detection and Recognition: The Deep Learning Era
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long
Xin He
Cong Yao
VLM
20
388
0
10 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External
  Categorical Evidence
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Athanasios Davvetas
I. Klampanos
V. Karkaletsis
17
5
0
09 Nov 2018
BAR: Bayesian Activity Recognition using variational inference
BAR: Bayesian Activity Recognition using variational inference
R. Krishnan
Mahesh Subedar
S. Bhatnagar
BDL
UQCV
6
20
0
08 Nov 2018
Informed Democracy: Voting-based Novelty Detection for Action
  Recognition
Informed Democracy: Voting-based Novelty Detection for Action Recognition
Alina Roitberg
Ziad Al-Halah
Rainer Stiefelhagen
12
30
0
30 Oct 2018
Reinforcement Learning and Deep Learning based Lateral Control for
  Autonomous Driving
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving
Dong Li
Dongbin Zhao
Qichao Zhang
Yaran Chen
6
113
0
30 Oct 2018
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng
Cheng Deng
Xing Sun
Xinyang Jiang
Xiaowei Guo
Zongqiao Yu
Feiyue Huang
Rongrong Ji
8
24
0
29 Oct 2018
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
11
1,244
0
10 Oct 2018
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains
  for Unsupervised CAD-based Recognition
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition
Benjamin Planche
Sergey Zakharov
Ziyan Wu
Andreas Hutter
H. Kosch
Slobodan Ilic
GAN
OOD
11
11
0
09 Oct 2018
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