Open Access
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
Article Number 04002
Number of page(s) 12
Section Adaptive Intelligence: Exploring Learning in Evolutionary Algorithms and Neural Networks
Published online 25 January 2024
  1. MMPreTrain Contributors. Openmmlab’s pre-training toolbox and benchmark (2023).,. [Google Scholar]
  2. Nir Aharon, Roy Orfaig, Ben-Zion Bobrovsky. Bot-sort: Robust associations multipedestrian tracking. ArXiv, abs/2206.14651 (2022) [Google Scholar]
  3. Frank Dellaert, Chuck Thorpe. Robust car tracking using kalman filtering and bayesian templates, In Conference on intelligent transportation systems 1 (1997) [Google Scholar]
  4. Min Zhu, Yisha Liu, Yan Zhuang, Huosheng Hu, IFAC Proceedings Volumes 47(3), 11898–11903 (2014) [CrossRef] [Google Scholar]
  5. Hui Kong, Jean-Yves Audibert, Jean Ponce, Vanishing point detection for road detection, In 2009 IEEE conference on computer vision and pattern recognition, pp. 96–103 (2009) [Google Scholar]
  6. Neethu John, B Anusha, Krishnan Kutty, Procedia Computer Science 58, 2–9 (2015) [CrossRef] [Google Scholar]
  7. Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao, Yolov7: Trainable bag- of-freebies sets new state-of-the-art for real-time object detectors, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7464–7475 (2022) [Google Scholar]
  8. Wang Hao and Song Zhili, Journal of Physics: Conference Series 1684, 012094 (2020) [CrossRef] [Google Scholar]
  9. Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei, Fastreid: A pytorch toolbox for general instance re-identification. arXiv preprint arXiv:2006.02631 (2020) [Google Scholar]
  10. Seyed Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese, Generalized intersection over union: A metric and a loss for bounding box regression, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 658–666 (2019) [Google Scholar]
  11. Harold W. Kuhn, The hungarian method for the assignment problem. Naval Research Logistics (NRL) 52 (1955) [Google Scholar]
  12. Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, and Jianyang Gu, IEEE Transactions on Multimedia 22, 2597–2609 (2019) [Google Scholar]
  13. Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Qinfeng Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taix’e. Mot20: A benchmark for multi object tracking in crowded scenes. ArXiv, abs/2003.09003 (2020) [Google Scholar]
  14. Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler. Mot16: A benchmark for multi-object tracking. ArXiv, abs/1603.00831 (2016) [Google Scholar]
  15. Yunhao Du, Yang Song, Bo Yang, Yanyun Zhao. Strongsort: Make deepsort great again. ArXiv, abs/2202.13514 (2022) [Google Scholar]
  16. Yifu Zhang, Pei Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang. Bytetrack: Multi-object tracking by associating every detection box. In European Conference on Computer Vision (2021) [Google Scholar]
  17. Umar Ozgunalp, Rui Fan, Xiao Ai, Naim Dahnoun, IEEE Transactions on Intelligent Transportation Systems 18, 621–632 (2017) [CrossRef] [Google Scholar]
  18. David Beymer, Philip McLauchlan, Benjamin Coifman, Jitendra Malik, A real-time computer vision system for measuring traffic parameters, In Proceedings of IEEE computer society conference on computer vision and pattern recognition, pp. 495–501 (1997) [Google Scholar]
  19. Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko, Quantization and training of neural networks for efficient integer-arithmetic-only inference, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2704–2713 (2018) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.