IR$$^2$$Net: information restriction and information recovery for accurate binary neural networks-Reference-Cited by-同舟云学术

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IR$$^2$$Net: information restriction and information recovery for accurate binary neural networks

Published:2023-03-27 Issue:19 Volume:35 Page:14449-14464
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Xue Ping,Lu Yang^ORCID,Chang Jingfei,Wei Xing,Wei Zhen

Funder

Anhui Provincial Key Research and Development Program

National Key Research and Development Program

Intelligent Network and New Energy Vehicle Special Project of Intelligent Manufacturing Institute of HFUT

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08495-z.pdf

Reference54 articles.

1. Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84–90. https://doi.org/10.1145/3065386

2. Wang Z, Lu J, Wu Z, Zhou J (2021) Learning efficient binarized object detectors with information compression. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/TPAMI.2021.3050464

3. Tong Z, Xu P, Denoeux T (2021) Evidential fully convolutional network for semantic segmentation. Appl Intell 51(9):6376–6399. https://doi.org/10.1007/s10489-021-02327-0

4. Ding Y, Ma Z, Wen S, Xie J, Chang D, Si Z, Wu M, Ling H (2021) AP-CNN: weakly supervised attention pyramid convolutional neural network for fine-grained visual classification. IEEE Trans Image Process 30:2826–2836. https://doi.org/10.1109/TIP.2021.3055617

5. Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278–2324

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1. CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Study of Rescaling Mechanism Utilization in Binary Neural Networks;Advances in Neural Computation, Machine Learning, and Cognitive Research VII;2023

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