BriefGPT.xyz
Jan, 2019
语义夜间图像分割的指导课程模型适应与不确定性感知评估
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation
HTML
PDF
Christos Sakaridis, Dengxin Dai, Luc Van Gool
TL;DR
解决了夜晚图像语义分割的问题,提出了一种通过标记合成图像和真实图像来逐渐适应夜间的课程框架,并且设计了一个新的评估框架来处理夜间图像中的语义不确定性。
Abstract
This work addresses the problem of
semantic segmentation
of
nighttime images
. The main direction of recent progress in
semantic segmentation
→