Feb 7, 2019 · We propose a saliency-aware CNN framework for ship detection, comprising comprehensive ship discriminative features, such as deep feature, saliency map, and ...

It can also be integrated with space-time systems to process and analyze previous surveillance videos in real time and make timely decisions. According to the ...

In this paper, we propose to use visual images captured by an on-land surveillance camera network to achieve real-time detection. However, due to the complex ...

Mar 5, 2020 · 2) Based on the YOLOv2 pipeline, we propose a saliency- aware CNN framework to improve the accuracy and robustness of ship detection under ...

In this paper, we propose to use visual images captured by an on-land surveillance camera network to achieve real-time detection. However, due to the complex ...

Feb 7, 2019 · Real-time detection of inshore ships plays an essential role in the efficient monitoring and management of maritime traffic and ...

Seaships: A large-scale precisely annotated dataset for ship detection ... Saliency-aware convolution neural network for ship detection in surveillance video.

Feb 13, 2024 · Saliency-aware convolution neural network for ship detection in surveillance video. IEEE Trans. Circuits Syst. Video Technol. 2019;30(3):781 ...

Sep 1, 2017 · This paper presents a new ship target detection algorithm to achieve efficient visual maritime surveillance from non-stationary surface ...

In [34], the authors proposed a saliency-aware CNN for ship detection using real time captured visual images. The proposed CNN framework consisted of exhaustive ...