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Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example

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RT-DSAFDet

Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example.

This study is accepted by the Journal of Real-Time Image Processing. Website: https://link.springer.com/article/10.1007/s11554-025-01634-w

The paper is freely available at: https://www.researchgate.net/publication/388727641_Real-time_dynamic_scale-aware_fusion_detection_network_take_road_dama ge_detection_as_an_example?_tp=eyJjb250ZXh0Ijp7InBhZ2UiOiJwcm9maWxlIiwicHJldmlvdXNQYWdlIjoiaG9tZSIsInBvc2l0aW9uIjoicGFnZ UNvbnRlbnQifX0

The paper with code URL is as follows: https://paperswithcode.com/paper/real-time-dynamic-scale-aware-fusion.

Website dataset at: https://zenodo.org/records/8429208.

Can be applied to YOLO annotation of UAV-PDD2023 dataset can be obtained from Baidu Net Disk. https://pan.baidu.com/s/1PolGlViPwZIuTuITKWAarg?pwd=py8m code: py8m.

If you need help, please contact me at panweichao01@outlook.com.

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Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example

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