DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images-Reference-Cited by-同舟云学术

DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images

Published:2023-09-28 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Li Ya-ling,Feng Yong^ORCID,Zhou Ming-liang,Xiong Xian-cai,Wang Yong-heng,Qiang Bao-hua

Funder

National Nature Science Foundation of China

State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM

Technology Innovation and Application Development Key Project of Chongqing

Guangxi Key Laboratory of Trusted Software

Zhejiang Lab

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-03095-3.pdf

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4. Cai, E., Luo, Z., Baireddy, S., Guo, J., Yang, C., Delp, E.J.: High-resolution UAV image generation for sorghum panicle detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1676–1685 (2022)

5. Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., Berg, A.C.: SSD: single shot multibox detector. In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp. 21–37 (2016). Springer

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