Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems

arXiv:2403.06352v1 Announce Type: new
Abstract: In this paper, we explore how to design lightweight CNN architecture for embedded computing systems. We propose L-Mobilenet model for ZYNQ based hardware platform. L-Mobilenet can adapt well to the hardware computing and accelerating, and its network structure is inspired by the state-of-the-art work of Inception-ResnetV1 and MobilenetV2, which can effectively reduce parameters and delay while maintaining the accuracy of inference. We deploy our L-Mobilenet model to ZYNQ embedded platform for fully evaluating the performance …

abstract adapt architecture art arxiv cnn computing computing systems cs.cv design embedded explore hardware mobilenet network paper platform state systems type work