RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.

MLA

Liu, Chunlei, et al. “RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.” IEEE Transactions on Circuits & Systems for Video Technology, vol. 32, no. 9, Sept. 2022, pp. 6414–24. EBSCOhost, https://doi.org/10.1109/TCSVT.2022.3166803.

APA

Liu, C., Ding, W., Chen, P., Zhuang, B., Wang, Y., Zhao, Y., Zhang, B., & Han, Y. (2022). RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. IEEE Transactions on Circuits & Systems for Video Technology, 32(9), 6414–6424. https://doi.org/10.1109/TCSVT.2022.3166803

Chicago

Liu, Chunlei, Wenrui Ding, Peng Chen, Bohan Zhuang, Yufeng Wang, Yang Zhao, Baochang Zhang, and Yuqi Han. 2022. “RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.” IEEE Transactions on Circuits & Systems for Video Technology 32 (9): 6414–24. doi:10.1109/TCSVT.2022.3166803.