YOLOv5 with Dual Attention Network for Object Detection on Drone
Author:
Affiliation:
1. University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea
2. Universitas Sam Ratulangi,Department of Electrical Engineering,Manado,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10284519/10284524/10284592.pdf?arnumber=10284592
Reference20 articles.
1. Segmentation is all you need;wu;CoRR,2019
2. An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites
3. CornerNet: Detecting Objects as Paired Keypoints
4. Objects as points;zhou;CoRR,2019
5. Single-Shot Refinement Neural Network for Object Detection
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1. Advancements in Object Detection for Unmanned Aerial Vehicles: Applications, Challenges, and Future Perspectives;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29
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