Is Faster R-CNN Doing Well for Pedestrian Detection?
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Bootstrap was reintroduced to object detection after 2016.
“To this end, the bootstrap was reintroduced to object detection after 2016 [23, 38, 101, 102].”
From Object Detection in 20 Years: A Survey (2023) · cites this paper as [101]
Cascaded detection has been especially applied to detection tasks of small objects in large scenes, e.g., face detection and pedestrian detection.
“In recent years, cascaded detection has been especially applied to those detection tasks of 'small objects in large scenes', e.g., face detection [126, 127], pedestrian detection [101, 124, 128], etc.”
From Object Detection in 20 Years: A Survey (2023) · cites this paper as [101]
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- Authors
- Zhang, L., Lin, L., Liang, X., & He, K.
- Affiliations
- Sun Yat-sen University (CN)
- Microsoft Research Asia (China) (CN)
- Corresponding author
- Lin, Liang
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 443-457
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2497039038
- Cited by
- 852
- References
- 35
- Citations by year
- 2026: 5 · 2025: 21 · 2024: 41 · 2023: 68 · 2022: 81 · 2021: 122 · 2020: 121 · 2019: 152 · 2018: 150 · 2017: 87 · 2016: 4
- FWCI
- 45.47
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Natural Science Foundation of China (2016YFB1001000)
- Natural Science Foundation of Guangdong Province (S2013050014548)
- National Natural Science Foundation of China-Guangdong Joint Fund
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Keywords
- pedestrian detection, Faster R-CNN, region proposal network, small object detection, hard negative mining, object detection
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