Open Access
| Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
|---|---|---|
| Article Number | 02021 | |
| Number of page(s) | 9 | |
| Section | Machine Learning, Deep Learning, and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257302021 | |
| Published online | 17 February 2025 | |
- P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), IEEE, (2001) [Google Scholar]
- N. Dalal, B. Triggs, Histograms of oriented gradients for human detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), IEEE, 1:886-893 (2005) [Google Scholar]
- P. F. Felzenszwalb, R. B. Girshick, D. McAllester, et al., Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627-1645 (2009) [Google Scholar]
- S. Ren, K. He, R. Girshick, et al., Faster R-CNN: Towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137.-1149 (2017) [CrossRef] [PubMed] [Google Scholar]
- Z. Cai, N. Vasconcelos, Cascade R-CNN: Delving into high quality object detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 6154-6162 (2018) [Google Scholar]
- R. Girshick, J. Donahue, T. Darrell, et al., Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 580-587 (2014) [Google Scholar]
- P. Dong, W. Wang, Better region proposals for pedestrian detection with R-CNN. 2016 Visual Communications and Image Processing (VCIP), IEEE, 1-4 (2016) [Google Scholar]
- R. Girshick, Fast R-CNN. Proceedings of the IEEE International Conference on Computer Vision, 1440-1448 (2015) [Google Scholar]
- G. Brazil, X. Liu, Pedestrian detection with autoregressive network phases. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 7231-7240 (2019) [Google Scholar]
- W. Liu, D. Anguelov, D. Erhan, et al., SSD: Single shot multibox detector. Computer Vision-ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I 14, Springer International Publishing, 21-37 (2016) [Google Scholar]
- J. Redmon, A. Farhadi, YOLOv3: An incremental improvement. arXiv preprint arXiv:1804.02767, (2018) [Google Scholar]
- W. Liu, D. Anguelov, D. Erhan, et al., SSD: Single shot multibox detector. Computer Vision-ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I 14, Springer International Publishing, 21-37 (2016) [Google Scholar]
- X. Li, X. Luo, H. Hao, et al., Pedestrian detection method based on multi-scale fusion inception-SSD model. 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), IEEE, 9:1549-1553 (2020) [Google Scholar]
- J. Redmon, S. Divvala, R. Girshick, et al., You Only Look Once: Unified, real-time object detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 779-788 (2016) [Google Scholar]
- J. Redmon, A. Farhadi, YOLOv3: An Incremental Improvement. arXiv e-prints, (2018) [Google Scholar]
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