Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation

17 September 2019

Papers citing "Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation"

6 / 6 papers shown

Title
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding Daniel Gehrig Dengxin Dai Simon Hecker Luc Van Gool 35 239 0 03 Aug 2018
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 75 1,535 0 28 Feb 2018
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 65 1,094 0 25 Aug 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 127 11,941 0 04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin Anton Milan Chunhua Shen Ian Reid AI4TS SSeg 190 2,835 0 20 Nov 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 290 2,069 0 07 Jun 2016