FE-YOLO: YOLO ship detection algorithm based on feature fusion and feature enhancement
Author:
Funder
National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11554-024-01445-5.pdf
Reference44 articles.
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3. Zhang, D., Robert, Y.Z.: Comparison of two deep learning methods for ship target recognition with optical remotely sensed data. Neural Comput. Appl. 33, 4639–4649 (2021)
4. Ren, Y., Yang, J., Zhang, Q., Guo, Z.: Ship recognition based on Hu invariant moments and convolutional neural network for video surveillance. Multimed. Tools Appl. 80, 1343–1373 (2020)
5. Yang, D.F., Solihin, M.I., Zhao, Y.W., Yao, B.C., Chen, C.R., Cai, B.Y., Machmudah, A.: A review of intelligent ship marine object detection based on RGB camera. Iet Image Process. 18, 281–297 (2023)
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