Densely Packed Object Detection
Densely Packed Object Detection is a specialized object detection paradigm that addresses the challenge of identifying and localizing objects in images characterized by high spatial density and significant overlap, where traditional detectors fail due to occlusion and scale variation.
48
Publications
6.6K
Citations
211
Authors
78
Institutions
Publications per year
2017–2026
47
Parents
48
Learning RoI Transformer for Oriented Object Detection in Aerial Images
Jian Ding, Nan Xue, Yang Long et al. · 2019 · 1.5K citations
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Xingjia Pan, Yuqiang Ren, Kekai Sheng et al. · 2020 · 404 citations
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Jingru Yi, Pengxiang Wu, Bo Liu et al. · 2021 · 332 citations
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78
University of Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
1.9K citations

Beihang University
Beijing, China
6 h-index
18 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
17 publications
717 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
19 publications
1.4K citations
Wuhan University
Wuhan, China
4 h-index
15 publications
7.7K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
2 h-index
8 publications
7.6K citations
Kuaishou (China)
Beijing, China
2 h-index
2 publications
418 citations

Xidian University
Xi'an, China
2 h-index
6 publications
282 citations
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6 publications · 357 citations
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4 publications · 233 citations
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3 publications · 114 citations
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Repository · 3 publications · 249 citations
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3 publications · 132 citations
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