A Machine Learning Approach for Reliable Object Tracking

Author:

Amjad Bisma,Ahmed Qasim Z.,Lazaridis Pavlos,Khan Faheem,Hafeez Maryam,Zaharis Zaharias D.

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Awais, M., Naseer, M., Khan, S., Anwer, R.M., Cholakkal, H., Shah, M., et al.: Foundational models defining a new era in vision: a survey and outlook. arXiv preprint arXiv:2307.13721 (2023)

2. Muhammad, A., Bae, S.H.: A survey on efficient methods for adversarial robustness. IEEE Access 10, 118815–118830 (2022)

3. Muhammad, A., Shamshad, F., Bae, S.H.: Adversarial attacks and batch normalization: a batch statistics perspective. IEEE Access (2023)

4. Awais, M., Zhou, F., Xu, H., Hong, L., Luo, P., Bae, S.H., Li, Z.: Adversarial robustness for unsupervised domain adaptation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 8568–8577 (2021)

5. Dong, Q., Muhammad, A., Zhou, F., Xie, C., Hu, T., Yang, Y., et al.: Zood: exploiting model zoo for out-of-distribution generalization. Adv. Neural Inform. Process. Syst. 35, 31583–31598 (2022)

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