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@misc{Bao2022Rega, title = {{Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks}}, author = {Bao, Chun and Cao, Jie and Ning, Yaqian and Cheng, Yang and Hao, Qun}, year = {2022}, publisher = {arXiv}, doi = {10.48550/arXiv.2211.12698}, }
Chun Bao, Jie Cao, Yaqian Ning, Yang Cheng, and Qun Hao. 2022. Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks. arXiv.2211.12698, pp. . DOI: https://doi.org/10.48550/arXiv.2211.12698
Bao, Chun, Cao, Jie, Ning, Yaqian, Cheng, Yang, and Hao, Qun. "Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks". arXiv.2211.12698, pp. . 2022.
Bao, C., Cao, J., Ning, Y., Cheng, Y., & Hao, Q. (2022). Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks. arXiv.2211.12698, pp. .
Bao, C., Cao, J., Ning, Y., Cheng, Y., Hao, Q., 2022. Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks.arXiv.2211.12698, pp.
Bao C, Cao J, Ning Y, Cheng Y, Hao Q. Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks.arXiv.2211.126982022; pp. .
Bao, Chun, Cao, Jie, Ning, Yaqian, Cheng, Yang, and Hao, Qun "Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks". arXiv.2211.12698, pp. . 2022.