Deep Neural Network Compression by In-Parallel Pruning-Quantization.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2020)
摘要
Deep neural networks enable state-of-the-art accuracy on visual recognition tasks such as image classification and object detection. However, modern networks contain millions of learned connections, and the current trend is towards deeper and more densely connected architectures. This poses a challenge to the deployment of state-of-the-art networks on resource-constrained systems, such as smartpho...
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关键词
Quantization (signal),Image coding,Neural networks,Visualization,Training,Convolution,Network architecture
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