ECA-YOLOv5: Multi scale infrared salient target detection algorithm based on anchor free network

Xiangrong Li; Jianjun Zhang; Lihui Sun

doi:10.1117/12.2663112

4 April 2023 ECA-YOLOv5: Multi scale infrared salient target detection algorithm based on anchor free network

Xiangrong Li, Jianjun Zhang, Lihui Sun

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126170J (2023) https://doi.org/10.1117/12.2663112
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

Aiming at the problems of poor detail texture features, low contrast and poor target detection effect in infrared images, a multi-scale infrared salient target detection algorithm based on anchor free network ECA-YOLOv5 is proposed. The model first introduces ECA attention mechanism to reduce noise interference and improve the infrared feature extraction capability of the network. Then, the shallow high-resolution feature information is supplemented, and the multi-scale feature fusion module is rebuilt to improve the utilization of feature information. Finally, an enhanced feature map output scale is added to further expand the infrared target detection size range and improve the detection capability. The experimental results show that, compared with the relevant detection model, the detection accuracy of this model for infrared targets has been significantly improved, and the recall rate and accuracy have been improved.

Citation Download Citation

Xiangrong Li, Jianjun Zhang, and Lihui Sun "ECA-YOLOv5: Multi scale infrared salient target detection algorithm based on anchor free network", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126170J (4 April 2023); https://doi.org/10.1117/12.2663112

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KEYWORDS

Infrared radiation

Target detection

Infrared detectors

Detection and tracking algorithms

Infrared imaging

Feature extraction

Thermal modeling

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