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Weight Isolation-Based Binarized Neural Networks Accelerator
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020In this paper, we introduce a binary neural network accelerator which using a new binarization method and hardware sparse. We propose the weights and the activations to either 1 or 0 instead of +1 or −1, which makes the convolution process simplified and more suitable for hardware implementation.
Zhangkong Xian, Hongge Li, Yuliang Li
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Waste Sorting System Using Binarized Neural Network
2020 International Conference on Intelligent Computing, Automation and Systems (ICICAS), 2020Garbage classification is of great importance to reduce environmental pollution and resource waste. For the sake of realizing efficient waste sorting and treatment, we propose a low latency automatic waste sorting system, which can classify garbage into the four categories: recyclable, harmful, kitchen and other garbage, and put the classified garbage ...
Mingmei Wu +5 more
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FBNA: A Fully Binarized Neural Network Accelerator
2018 28th International Conference on Field Programmable Logic and Applications (FPL), 2018In recent researches, binarized neural network (BNN) has been proposed to address the massive computations and large memory footprint problem of the convolutional neural network (CNN). Several works have designed specific BNN accelerators and showed very promising results. Nevertheless, only part of the neural network is binarized in their architecture
Peng Guo +5 more
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Neural networks for binarizing computer-generated holograms
Optics Communications, 1991Abstract A Hopfield type neural network was applied to compute synthetic, binary holograms. This iterative neuron algorithm minimizes reconstruction errors in amplitude and phase. About twenty iteration steps are sufficient for convergence, each of them has the computational complexity of a FFT.
D. Just, D.T. Ling
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Memristor Binarized Neural Networks
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, 2018Khoa Van Pham +7 more
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Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021Ming-Liang Wei +5 more
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Hardware Efficient Weight-Binarized Spiking Neural Networks
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023Chengcheng Tang, Jie Han
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Robust Digital Molecular Design of Binarized Neural Networks
DNA, 2021Johannes Linder +5 more
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Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC
International Conference on Field-Programmable Technology, 2016Eriko Nurvitadhi +5 more
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Efficient Binarized Neural Network Intellectual Property Protection
2025 IEEE International Conference on Multimedia and Expo (ICME)Bowen Chen +3 more
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