ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving
Abstract Drawing inspiration from the state‐of‐the‐art object detection framework YOLOv8, a new model termed adverse weather net (ADWNet) is proposed. To enhance the model's feature extraction capabilities, the efficient multi‐scale attention (EMA) module has been integrated into the backbone....
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| Main Authors: | Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-10-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/itr2.12566 |
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