A small object detection method based on the attention mechanism and multi-level feature fusion

Yue Zhou; Yutong Jiang; Zhonglin Yang; Xingxin Li; Yang Yang; Ying Wang; Zhen Han

doi:10.1117/12.3035229

19 July 2024 A small object detection method based on the attention mechanism and multi-level feature fusion

Yue Zhou, Yutong Jiang, Zhonglin Yang, Xingxin Li, Yang Yang, Ying Wang, Zhen Han

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132132R (2024) https://doi.org/10.1117/12.3035229
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Infrared imaging technology has become indispensable across numerous fields due to its unique capabilities. However, small object detection from infrared images is still a challenging task because of the inherent noise and low contrast often present in infrared imagery, and the small target size further increases the detection difficulty. To relieve these problems, we propose a small object detection method based on YOLOv8 with an attention mechanism and multi-level feature fusion from infrared images. Firstly, an attention mechanism is introduced to extract long-range image features, which is effective in decreasing the bad effect of complex image backgrounds. Secondly, multi-level feature fusion is used in the detection neck to recover image details for small objects. Experimental results show that the proposed method is beneficial in improving the detection performance of small objects from infrared images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Zhou, Yutong Jiang, Zhonglin Yang, Xingxin Li, Yang Yang, Ying Wang, and Zhen Han "A small object detection method based on the attention mechanism and multi-level feature fusion", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132132R (19 July 2024); https://doi.org/10.1117/12.3035229

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KEYWORDS

Object detection

Infrared imaging

Infrared radiation

Feature fusion

Infrared detectors

Image fusion

Feature extraction

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