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cs.AR2021
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression
Zhuang Shao, Xiaoliang Chen, Li Du +6
Existing deep convolutional neural networks (CNNs) generate massive interlayer feature data during network inference. To maintain real-time processing in embedded systems, large on…
cs.AR2017★ 4 cited
A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications
Yuan Du, Li Du, Yilei Li +2
Deep convolutional neural networks (CNN) are widely used in modern artificial intelligence (AI) and smart vision systems but also limited by computation latency, throughput, and en…