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Auxiliary Tasks in Multi-task Learning

16 May 2018

Papers citing "Auxiliary Tasks in Multi-task Learning"

29 / 29 papers shown

Title
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Abdolmehdi Behroozi Chaopeng Shen and Daniel Kifer AI4CE 84 0 0 13 May 2025
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining Weizhen He Yunfeng Yan Shixiang Tang Yiheng Deng Yangyang Zhong Pengxin Luo Donglian Qi VLM 177 1 0 29 Apr 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 139 0 0 03 Jan 2025
Evaluation of CNN-based Single-Image Depth Estimation Methods Tobias Koch Lukas Liebel Friedrich Fraundorfer Marco Körner 3DV 143 150 0 03 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 477 13,168 0 07 Feb 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 137 5,199 0 10 Nov 2017
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications Apostolia Tsirikoglou J. Kronander Magnus Wrenninge Jonas Unger 3DV 55 78 0 17 Oct 2017
Playing for Benchmarks Stephan R. Richter Zeeshan Hayder V. Koltun 78 470 0 21 Sep 2017
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications Matthias Muller Vincent Casser Jean Lahoud Neil G. Smith Guohao Li VGen 61 181 0 19 Aug 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 153 2,830 0 15 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,123 0 19 May 2017
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? Matthew Johnson-Roberson Charlie Barto Rounak Mehta S. N. Sridhar Karl Rosaen Ram Vasudevan 110 617 0 06 Oct 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 122 2,012 0 07 Aug 2016
Find your Way by Observing the Sun and Other Semantic Cues Wei-Chiu Ma Shenlong Wang Marcus A. Brubaker Sanja Fidler R. Urtasun 58 42 0 23 Jun 2016
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 265 18,259 0 02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 406 1,830 0 01 Jun 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 77 1,073 0 20 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,886 0 20 May 2016
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 1.1K 11,641 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,412 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,815 0 02 Nov 2015
Fast R-CNN Ross B. Girshick ObjD 309 25,081 0 30 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 180 891 0 24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,681 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,063 0 09 Jun 2014