Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
نویسندگان
چکیده
منابع مشابه
Semantic Foggy Scene Understanding with Synthetic Data
This work addresses the problem of semantic foggy scene understanding (SFSU). Although extensive research has been performed on image dehazing and on semantic scene understanding with weatherclear images, little attention has been paid to SFSU. Due to the difficulty of collecting and annotating foggy images, we choose to generate synthetic fog on real images that depict weather-clear outdoor sc...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2019
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-019-01182-4