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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
The Edge of Depth: Explicit Constraints between Segmentation and Depth
The Edge of Depth: Explicit Constraints between Segmentation and Depth
Shengjie Zhu
Garrick Brazil
Xiaoming Liu
MDE
17
104
0
01 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
K. Jia
Wei Liu
14
94
0
31 Mar 2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for
  Panoptic Segmentation
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen
Guangchen Lin
Songyuan Li
Omar Elfarouk Bourahla
Yiming Wu
Fangfang Wang
Junyi Feng
Mingliang Xu
Xi Li
ISeg
28
65
0
31 Mar 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
S. Mattoccia
MDE
19
76
0
31 Mar 2020
TITAN: Future Forecast using Action Priors
TITAN: Future Forecast using Action Priors
Srikanth Malla
Behzad Dariush
Chiho Choi
6
121
0
31 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
174
0
30 Mar 2020
Fisheye Distortion Rectification from Deep Straight Lines
Fisheye Distortion Rectification from Deep Straight Lines
Zhucun Xue
Nan Xue
Guisong Xia
26
12
0
25 Mar 2020
Fine-grained Species Recognition with Privileged Pooling: Better Sample
  Efficiency Through Supervised Attention
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention
Andrés C. Rodríguez
Stefano Dáronco
Konrad Schindler
Jan Dirk Wegner
11
4
0
20 Mar 2020
DELTAS: Depth Estimation by Learning Triangulation And densification of
  Sparse points
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
Ayan Sinha
Zak Murez
James Bartolozzi
Vijay Badrinarayanan
Andrew Rabinovich
3DV
3DPC
16
3
0
19 Mar 2020
Domain-Adaptive Few-Shot Learning
Domain-Adaptive Few-Shot Learning
An Zhao
Mingyu Ding
Zhiwu Lu
Tao Xiang
Yulei Niu
Jiechao Guan
Ji-Rong Wen
Ping Luo
28
69
0
19 Mar 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang
Yukun Zhu
Bradley Green
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
3DPC
22
656
0
17 Mar 2020
Deep Affinity Net: Instance Segmentation via Affinity
Deep Affinity Net: Instance Segmentation via Affinity
Xingqian Xu
M. Chiu
Thomas S. Huang
Humphrey Shi
ISeg
SSeg
16
11
0
15 Mar 2020
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular
  Images With Self-Supervised Learning
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning
Fabian Manhardt
Gu Wang
Benjamin Busam
M. Nickel
Sven Meier
Luca Minciullo
Xiangyang Ji
Nassir Navab
12
13
0
12 Mar 2020
Uncertainty depth estimation with gated images for 3D reconstruction
Uncertainty depth estimation with gated images for 3D reconstruction
Stefanie Walz
Tobias Gruber
W. Ritter
Klaus C. J. Dietmayer
3DV
22
17
0
11 Mar 2020
Cross-modal Multi-task Learning for Graphic Recognition of Caricature
  Face
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
Zuheng Ming
J. Burie
M. Luqman
CVBM
17
0
0
10 Mar 2020
Scalable Uncertainty for Computer Vision with Functional Variational
  Inference
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho
R. Clark
Andrea Nicastro
Paul H. J. Kelly
BDL
UQCV
125
22
0
06 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
6
371
0
02 Mar 2020
Learned Enrichment of Top-View Grid Maps Improves Object Detection
Learned Enrichment of Top-View Grid Maps Improves Object Detection
Sascha Wirges
Ye Yang
Sven Richter
Haohao Hu
Christoph Stiller
ObjD
8
2
0
02 Mar 2020
Semantically-Guided Representation Learning for Self-Supervised
  Monocular Depth
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Ambrus
Adrien Gaidon
SSL
MDE
19
227
0
27 Feb 2020
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
Niels Ole Salscheider
19
36
0
18 Feb 2020
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Hang Xu
Linpu Fang
Xiaodan Liang
Wenxiong Kang
Zhenguo Li
ObjD
24
21
0
18 Feb 2020
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame
  Attention
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Donghyun Kim
Tian-Shing Lan
Chuhang Zou
N. Xu
Bryan A. Plummer
Stan Sclaroff
J. Eledath
Gérard Medioni
9
3
0
18 Feb 2020
Learning a Directional Soft Lane Affordance Model for Road Scenes Using
  Self-Supervision
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision
Robin Karlsson
E. Sjoberg
SSL
25
3
0
17 Feb 2020
Deeper Task-Specificity Improves Joint Entity and Relation Extraction
Deeper Task-Specificity Improves Joint Entity and Relation Extraction
Phil Crone
15
14
0
15 Feb 2020
Bit Allocation for Multi-Task Collaborative Intelligence
Bit Allocation for Multi-Task Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
16
25
0
14 Feb 2020
A Simple General Approach to Balance Task Difficulty in Multi-Task
  Learning
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
Sicong Liang
Yu Zhang
12
11
0
12 Feb 2020
Deep Multi-task Multi-label CNN for Effective Facial Attribute
  Classification
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Longbiao Mao
Y. Yan
Jing-Hao Xue
Hanzi Wang
CVBM
6
48
0
10 Feb 2020
Multi-Task Learning by a Top-Down Control Network
Multi-Task Learning by a Top-Down Control Network
Hila Levi
S. Ullman
10
7
0
09 Feb 2020
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training
Jean Lahoud
Bernard Ghanem
VLM
SSL
12
3
0
06 Feb 2020
Multi-Channel Attention Selection GANs for Guided Image-to-Image
  Translation
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation
Hao Tang
Philip H. S. Torr
N. Sebe
31
37
0
03 Feb 2020
Facial Affect Recognition in the Wild Using Multi-Task Learning
  Convolutional Network
Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional Network
Zihang Zhang
Jianping Gu
CVBM
9
6
0
03 Feb 2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image
  Quality
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
UQCV
12
13
0
31 Jan 2020
Uncertainty based Class Activation Maps for Visual Question Answering
Uncertainty based Class Activation Maps for Visual Question Answering
Badri N. Patro
Mayank Lunayach
Vinay P. Namboodiri
FAtt
UQCV
11
1
0
23 Jan 2020
Deep Bayesian Network for Visual Question Generation
Deep Bayesian Network for Visual Question Generation
Badri N. Patro
V. Kurmi
Sandeep Kumar
Vinay P. Namboodiri
BDL
9
19
0
23 Jan 2020
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
Hanhe Lin
Vlad Hosu
Dietmar Saupe
OOD
27
47
0
20 Jan 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
15
216
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
8
1,164
0
19 Jan 2020
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based
  Object Re-Identification
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
18
106
0
15 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip H. S. Torr
SSL
21
59
0
12 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous
  Driving Systems
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang
Ganesh Sistu
Fabian Burger
Andrei Bursuc
S. Yogamani
21
52
0
07 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
25
341
0
30 Dec 2019
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention
Aiqing Fang
Xinbo Zhao
Yanning Zhang
AAML
13
2
0
23 Dec 2019
AANet: Attribute Attention Network for Person Re-Identifications
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay
Sharmili Roy
Kim-Hui Yap
3DPC
6
302
0
19 Dec 2019
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Anthony Hu
Alex Kendall
R. Cipolla
14
19
0
19 Dec 2019
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics
Aiqing Fang
Xinbo Zhao
Jiaqi Yang
Yanning Zhang
11
6
0
18 Dec 2019
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Jeya Maria Jose Valanarasu
R. Yasarla
Puyang Wang
I. Hacihaliloglu
Vishal M. Patel
11
29
0
18 Dec 2019
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu
Yike Guo
11
59
0
14 Dec 2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang
N. Homayounfar
Wei-Chiu Ma
Yuwen Xiong
Rui Hu
R. Urtasun
ViT
ISeg
28
174
0
05 Dec 2019
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for
  Unseen Object Pose Estimation
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Keunhong Park
Arsalan Mousavian
Yu Xiang
D. Fox
15
134
0
01 Dec 2019
Urban Driving with Conditional Imitation Learning
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke
Richard Shen
Corina Gurau
Siddharth Sharma
Daniele Reda
...
Przemyslaw Mazur
Sean Micklethwaite
Nicolas Griffiths
Amar Shah
Alex Kendall
6
147
0
30 Nov 2019
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