Rethinking all-in-one adverse weather removal for object detection

Despite significant progress has been made in image restoration under adverse weather conditions, these methods primarily focus on the quality of image reconstruction, leaving their impact on downstream object detection unknown. In this paper, we rethink all-in-one adverse weather removal for object...

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Veröffentlicht in:	Signal, image and video processing image and video processing, 2024-12, Vol.18 (12), p.8597-8606
Hauptverfasser:	Li, Yufeng, Chen, Jiayu, Xie, Chuanlong, Chen, Hongming
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Imaging Computer Science Datasets Image degradation Image Processing and Computer Vision Image quality Image reconstruction Image restoration Multimedia Information Systems Object recognition Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Vision Weather
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