High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection

• URL: http://arxiv.org/abs/2304.03812v1
• Date: Fri, 7 Apr 2023 18:40:49 GMT
• Title: High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection
• Authors: Yifan Yin, Xu Cheng, Fan Shi, Xiufeng Liu, Huan Huo, Shengyong Chen
• Abstract summary: We propose a novel lightweight framework called textitHSI-ShipDetectionNet that is based on high-order spatial interactions. HSI-ShipDetectionNet includes a prediction branch specifically for tiny ships and a lightweight hybrid attention block for reduced complexity. Our model is evaluated using the public Kaggle marine ship detection dataset and compared with multiple state-of-the-art models.
• Score: 18.60170221864557
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Accurate and reliable optical remote sensing image-based small-ship detection is crucial for maritime surveillance systems, but existing methods often struggle with balancing detection performance and computational complexity. In this paper, we propose a novel lightweight framework called \textit{HSI-ShipDetectionNet} that is based on high-order spatial interactions and is suitable for deployment on resource-limited platforms, such as satellites and unmanned aerial vehicles. HSI-ShipDetectionNet includes a prediction branch specifically for tiny ships and a lightweight hybrid attention block for reduced complexity. Additionally, the use of a high-order spatial interactions module improves advanced feature understanding and modeling ability. Our model is evaluated using the public Kaggle marine ship detection dataset and compared with multiple state-of-the-art models including small object detection models, lightweight detection models, and ship detection models. The results show that HSI-ShipDetectionNet outperforms the other models in terms of recall, and mean average precision (mAP) while being lightweight and suitable for deployment on resource-limited platforms.

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