A Hyperparameters Tuning and Gaussian Smoothing Based FC- Siamese Network for Object Tracking
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3927-3_43
Reference14 articles.
1. Li, D., Yu, Y.: Foreground information guidance for Siamese visual tracking. IEEE Access 8, 55905–55914 (2020)
2. Rao, Y., et al.: FPSiamRPN: feature pyramid Siamese network with region proposal network for target tracking. IEEE Access 8, 176158–176169 (2020)
3. Luo, Y., Cai, Y., Wang, B., Wang, J., Wang, Y.: SiamFF: visual tracking with a siamese network combining information fusion with rectangular window filtering. IEEE Access 8, 119899–119910 (2020)
4. Zhao, F., Zhang, T., Wu, Y., Tang, M., Wang, J.: Antidecay LSTM for Siamese tracking with adversarial learning. IEEE Trans. Neural Networks Learn. Syst. 32, 4475–4489 (2020)
5. Zhao, F., Zhang, T., Song, Y., Tang, M., Wang, X., Wang, J.: Siamese regression tracking with reinforced template updating. IEEE Trans. Image Process. 30, 628–640 (2021)
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