Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source
Mixed Sampling and Meta-Learning

Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning

19 March 2022

Kailun Yang

Rainer Stiefelhagen

Papers citing "Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning"

6 / 6 papers shown

Title
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 41 0 0 04 Sep 2024
Adaptive Texture Filtering for Single-Domain Generalized Segmentation Xinhui Li Mingjiang Li Yaxing Wang Chuan-Xian Ren Xiaojie Guo 11 5 0 06 Mar 2023
Context-Aware Mixup for Domain Adaptive Semantic Segmentation Qianyu Zhou Zhengyang Feng Qiqi Gu Jiangmiao Pang Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 60 129 0 08 Aug 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017