Cited by 852Advanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsHuman Pose and Action Recognition

Is Faster R-CNN Doing Well for Pedestrian Detection?

Open access
Zhang, Liliang, Lin, Liang, Liang, Xiaodan, He, Kaiming·2016·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-319-46475-6_28

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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]

Cites

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2 of the 35 references couldn’t be matched to a known paper.

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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
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
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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