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XOR-Net: Optimizing Binary CNN Inference by ضحى الغزي is a document available to read on EtoBox.

What is XOR-Net: Optimizing Binary CNN Inference about?

The document summarizes a research paper titled "XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices". It discusses how neural network quantization methods like XNOR-Net, Bi-Real-Net, and XNOR-Net++ reduce memory usage and simplify computations for binary neural networks. However, these methods contain redundant computations that limit speedups. The proposed XOR-Net method optimizes the computation pipeline for binary networks by avoiding NOT operations and rearran

Author

ضحى الغزي

Language

EN