The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
YOLO-face: a real-time face detector
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Citations
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
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
You Only Look Once: Unified, Real-Time Object Detection
Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803
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
(2016) · Cited by 31,590
Feature Pyramid Networks for Object Detection
Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.106 · Cited by 30,939
Cited by
YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492
Yolo-facev2: A scale and occlusion aware face detector
Yu, Z., Huang, H., Chen, W., Su, Y., Liu, Y., & Wang, X. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.110714 · Cited by 476
Self-citationAI-Based Techniques for Real-Time Face Recognition-based Attendance System- A comparative Study
Pattnaik, P., & Mohanty, K. K. (2020) · 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca49313.2020.9297643 · Cited by 19
Metadata
- Authors
- Chen, W., Huang, H., Peng, S., Zhou, C., & Zhang, C.
- Venue
- The Visual Computer
- Published
- 2020-03-12
- Volume
- 37
- Issue
- 4
- Pages
- 805-813
- ISSN
- 0178-2789 (ISSN-L)
- 1432-2315
- OpenAlex
- W3012546716
- Cited by
- 303
- References
- 32
- FWCI
- 15.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: YOLO-face: a real-time face detector. https://app.cochat.ai/papers/10.1007/s00371-020-01831-7
- The paper
- Chen, W., Huang, H., Peng, S., Zhou, C., & Zhang, C. (2021). YOLO-face: a real-time face detector. The Visual Computer. https://doi.org/10.1007/s00371-020-01831-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
