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A Heterogeneous Architecture for the Vision Processing Unit with a Hybrid Deep Neural Network Accelerator
2022
Micromachines
The vision chip is widely used to acquire and process images. It connects the image sensor directly with the vision processing unit (VPU) to execute the vision tasks. Modern vision tasks mainly consist of image signal processing (ISP) algorithms and deep neural networks (DNNs). However, the traditional VPUs are unsuitable for the DNNs, and the DNN processing units (DNPUs) cannot process the ISP algorithms. Meanwhile, only the CNNs and the CNN-RNN frameworks are used in the vision tasks, and few
doi:10.3390/mi13020268
pmid:35208392
pmcid:PMC8878321
fatcat:vtsvmgpbtfbyzemrdfhixl4rke