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

19 May 2017

Alex Kendall

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

45 / 1,295 papers shown

Title
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 22 1,246 0 10 Oct 2018
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
Geometry meets semantics for semi-supervised monocular depth estimation Pierluigi Zama Ramirez Matteo Poggi Fabio Tosi S. Mattoccia Luigi Di Stefano MDE 24 111 0 09 Oct 2018
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning Shusil Dangi Z. Yaniv Cristian A. Linte 31 24 0 26 Sep 2018
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections Keunhong Park Konstantinos Rematas Ali Farhadi S. M. Seitz 3DV 3DH 8 34 0 26 Sep 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 35 466 0 23 Sep 2018
Joint Multilingual Supervision for Cross-lingual Entity Linking Shyam Upadhyay Nitish Gupta Dan Roth LRM 19 40 0 20 Sep 2018
Faster Training of Mask R-CNN by Focusing on Instance Boundaries Roland S. Zimmermann Julien N. Siems ISeg SSeg ObjD 11 66 0 19 Sep 2018
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension Yichong Xu Xiaodong Liu Yelong Shen Jingjing Liu Jianfeng Gao 19 51 0 18 Sep 2018
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection Di Feng Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer 3DPC 22 69 0 14 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations Vladimir Nekrasov Thanuja Dharmasiri Andrew Spek Tom Drummond Chunhua Shen Ian Reid 26 148 0 13 Sep 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency Yuliang Zou Zelun Luo Jia-Bin Huang MDE 32 472 0 05 Sep 2018
Multitask Learning for Fundamental Frequency Estimation in Music Rachel M. Bittner Brian McFee J. P. Bello 17 18 0 02 Sep 2018
Wrapped Loss Function for Regularizing Nonconforming Residual Distributions Chun Ting Liu M. Yang Meng Chang Chen 14 0 0 21 Aug 2018
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery Grégoire Payen de La Garanderie Amir Atapour-Abarghouei T. Breckon 3DPC MDE 16 80 0 19 Aug 2018
Fast Convergence for Object Detection by Learning how to Combine Error Functions Benjamin Schnieders K. Tuyls ObjD 19 4 0 13 Aug 2018
Semi-convolutional Operators for Instance Segmentation David Novotny Samuel Albanie Diane Larlus Andrea Vedaldi ISeg 19 85 0 27 Jul 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 30 2 0 13 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 15 23 0 09 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 641 0 01 Jul 2018
High Diversity Attribute Guided Face Generation with GANs Evgeny Izutov CVBM GAN 16 0 0 28 Jun 2018
Gradient Adversarial Training of Neural Networks Ayan Sinha Zhao Chen Vijay Badrinarayanan Andrew Rabinovich AAML 25 33 0 21 Jun 2018
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning Felix J. S. Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li D. Hawkes Sebastien Ourselin Daniel C. Alexander J. McClelland M. Jorge Cardoso UQCV 33 49 0 18 Jun 2018
Auxiliary Tasks in Multi-task Learning Lukas Liebel Marco Körner SSL 14 246 0 16 May 2018
Cross-connected Networks for Multi-task Learning of Detection and Segmentation Seiichiro Fukuda Ryota Yoshihashi Rei Kawakami Shaodi You M. Iida T. Naemura 16 15 0 15 May 2018
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 22 474 0 11 May 2018
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction Luowei Zhou Nathan Louis Jason J. Corso 25 94 0 08 May 2018
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry Noha Radwan Abhinav Valada Wolfram Burgard 73 240 0 23 Apr 2018
Estimating Depth from RGB and Sparse Sensing Zhao Chen Vijay Badrinarayanan Gilad Drozdov Andrew Rabinovich MDE 3DV 28 109 0 08 Apr 2018
Mix and match networks: encoder-decoder alignment for zero-pair image translation Yaxing Wang Joost van de Weijer Luis Herranz 25 34 0 06 Apr 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 22 1,025 0 28 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark J. F. Gales UD BDL EDL UQCV PER 30 898 0 28 Feb 2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy Ognjen Rudovic Jaeryoung Lee Miles Dai Bjorn Schuller Rosalind W. Picard 27 271 0 04 Feb 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction Yuan Gao Jiayi Ma Mingbo Zhao Wei Liu Alan Yuille 18 252 0 25 Jan 2018
Distance to Center of Mass Encoding for Instance Segmentation Thomio Watanabe D. Wolf ISeg 18 10 0 24 Nov 2017
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments Dan Barnes William P. Maddern Geoffrey Pascoe Ingmar Posner 19 69 0 17 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 45 1,256 0 07 Nov 2017
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering Caiming Xiong Victor Zhong R. Socher 27 109 0 31 Oct 2017
$J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation$ J-MOD $^{2}$ : Joint Monocular Obstacle Detection and Depth Estimation Michele Mancini G. Costante P. Valigi Thomas Alessandro Ciarfuglia MDE 30 51 0 25 Sep 2017
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks B. Bischke P. Helber Joachim Folz Damian Borth Andreas Dengel SSeg 18 246 0 18 Sep 2017
Hierarchical Attentive Recurrent Tracking Adam R. Kosiorek Alex Bewley Ingmar Posner VOS 25 60 0 28 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 17 2,807 0 15 Jun 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension Minghao Hu Yuxing Peng Zhen Huang Xipeng Qiu Furu Wei Ming Zhou RALM AIMat 19 69 0 08 May 2017
Geometric Loss Functions for Camera Pose Regression with Deep Learning Alex Kendall R. Cipolla 3DH 32 762 0 02 Apr 2017
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 17 1,062 0 09 Nov 2015