Target scale information detection based on improved Faster R-CNN

Yu Liu; Zhiqiang Wang; Fengjing Zhang; Jun Xie; Zhaohong Xu

doi:10.1117/12.2667260

22 February 2023 Target scale information detection based on improved Faster R-CNN

Yu Liu, Zhiqiang Wang, Fengjing Zhang, Jun Xie, Zhaohong Xu

Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 125870V (2023) https://doi.org/10.1117/12.2667260
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China

Abstract

In order to obtain the scale information of ship targets effectively, we proposed an improved Faster R-CNN algorithm which integrated multi-scale region proposal and pooling of ROI, visual attention mechanism and rotation region regression and suppression, and ship targets can be positioned by the rotate quadrangle bounding boxes to obtain the scale information of them. Our improved model is based on the standard Faster R-CNN and is maintained through end-to-end training.

Citation Download Citation

Yu Liu, Zhiqiang Wang, Fengjing Zhang, Jun Xie, and Zhaohong Xu "Target scale information detection based on improved Faster R-CNN", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 125870V (22 February 2023); https://doi.org/10.1117/12.2667260

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