SS SFDA Self Supervised Source Free Domain Adaptation for Road Segmentation in H
论文 项目页面 在观看整个视频 如果您觉得有用,请引用我们的论文。 @article{kothandaraman2020safe, title={SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments}, author={Kothandaraman, Divya and Chandra, Rohan and Manocha, Dinesh}, journal={arXiv preprint arXiv:2012.08939}, year={2020} } 目录 致谢 回购详细信息和内容 Python版本:3.7 代码结构 数据加载器 数据集 数据加载器 图片清单 天气晴朗CityScapes 数据集/cityscapes.py 数据
文件列表
SS-SFDA-Self-Supervised-Source-Free-Domain-Adaptation-for-Road-Segmentation-in-Hazardous-Environme-main.zip
(预估有个42文件)
SS-SFDA-Self-Supervised-Source-Free-Domain-Adaptation-for-Road-Segmentation-in-Hazardous-Environme-main
eval.py
4KB
model
drnd38_attention.py
15KB
drnd38.py
13KB
train_stage2step2.py
10KB
cover_pic.png
532KB
dataset
raincouver
train3_raindusk.txt
697B
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