The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.
Is Faster R-CNN Doing Well for Pedestrian Detection?
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In the citing paper
“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]
In the citing paper
“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]
Citations
Cites
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472
Self-citationFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1506.01497 · Cited by 70,812
Self-citationImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684
Girshick, R. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.169 · Cited by 28,105
Are we ready for autonomous driving? The KITTI vision benchmark suite
Geiger, A., Lenz, P., & Urtasun, R. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248074 · Cited by 14,897
Research works printed but not linked: 2
Cited by
Sorted by citations
Items 101–103 of 103
Praveen, S. P., Nakka, R., Anuradha, C., Thatha, V. N., Vellela, S. S., & Sirisha, U. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01406128 · Cited by 88
Adaptive Fusion of Multi-Scale YOLO for Pedestrian Detection
Hsu, W.-Y., & Lin, W.-Y. (2021) · IEEE Access · doi:10.1109/access.2021.3102600 · Cited by 80
Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems—A Review
Galvao, L. G., Abbod, M., Kalganova, T., Palade, V., & Huda, M. N. (2021) · Sensors · doi:10.3390/s21217267 · Cited by 59
Metadata
- 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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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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