Density-aware Object Detection in Aerial Images
Author:
Affiliation:
1. School of Electronic Information, Wuhan University, China
2. German Aerospace Center, Germany
3. School of Computer Science, Wuhan University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3604078.3604120
Reference42 articles.
1. S. Shao , Z. Zhao , B. Li , T. Xiao , G. Yu , X. Zhang , and J. Sun , “ Crowdhuman: A benchmark for detecting human in a crowd ,” arXiv preprint arXiv: 1805 .00123, 2018. S. Shao, Z. Zhao, B. Li, T. Xiao, G. Yu, X. Zhang, and J. Sun, “Crowdhuman: A benchmark for detecting human in a crowd,” arXiv preprint arXiv:1805.00123, 2018.
2. Precise Detection in Densely Packed Scenes
3. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
4. Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
5. Adaptive NMS: Refining Pedestrian Detection in a Crowd
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