Tiny Target Detection Based on Multi-scale Attention

Shurun Gao; Chang Liu; Haimiao Zhang; Jun Qiu

doi:10.1364/FIO.2022.JW4B.64

Frontiers in Optics + Laser Science 2022 (FIO, LS)
Technical Digest Series (Optica Publishing Group, 2022),
paper JW4B.64
•https://doi.org/10.1364/FIO.2022.JW4B.64

Tiny Target Detection Based on Multi-scale Attention

Shurun Gao, Chang Liu, Haimiao Zhang, and Jun Qiu

Frontiers in Optics 2022

Rochester, New York United States
17–20 October 2022
ISBN: 978-1-957171-17-3

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Joint Poster Session IIIB (Remote) (JW4B)

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S. Gao, C. Liu, H. Zhang, and J. Qiu, "Tiny Target Detection Based on Multi-scale Attention," in Frontiers in Optics + Laser Science 2022 (FIO, LS), Technical Digest Series (Optica Publishing Group, 2022), paper JW4B.64.

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Abstract

We proposed a tiny targets detection method based on feature pyramid network by focusing on target regions of different scales and guiding the feature maps of adjacent layers to fuse the target features.

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