TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights-Reference-Cited by-同舟云学术

TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights

Published:2018 Issue: Volume: Page:322-339
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
Short-container-title:

Author:

Wan Diwen,Shen Fumin,Liu Li,Zhu Fan,Qin Jie,Shao Ling,Shen Heng Tao

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01216-8_20

Reference58 articles.

1. Alemdar, H., Leroy, V., Prost-Boucle, A., Pétrot, F.: Ternary neural networks for resource-efficient AI applications. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 2547–2554. IEEE (2017)

2. Ambai, M., Matsumoto, T., Yamashita, T., Fujiyoshi, H.: Ternary weight decomposition and binary activation encoding for fast and compact neural network. In: Proceedings of International Conference on Learning Representations (2017)

3. Bagherinezhad, H., Rastegari, M., Farhadi, A.: LCNN: lookup-based convolutional neural network. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2017)

4. Bengio, Y., Léonard, N., Courville, A.: Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013)

5. Courbariaux, M., Bengio, Y., David, J.: Low precision arithmetic for deep learning. CoRR, abs/1412.7024 4 (2014)

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Quantization Method Based on Gaussian Regularization Reduces Precision Loss in Reparameterization Quantization;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

3. PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-based Object Detectors in Low-Resource Environments;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

4. Analysis of ADC Quantization Effect in Processing-In-Memory Macro in Various Low-Precision Deep Neural Networks;2024 International Conference on Electronics, Information, and Communication (ICEIC);2024-01-28

5. A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture;IEEE Transactions on Circuits and Systems I: Regular Papers;2024