Hardware accelerator for high accuracy sign language recognition with residual network based on FPGAs
Dong Yang,
Jianwu Li,
Guocun Hao
et al.
Abstract:The ResNet series of networks has demonstrated powerful capabilities in the fields of object detection and image classification, garnering increasing attention from researchers. However, due to their deep network architectures, accelerator development based on FPGA faces challenges associated with limited on-chip resources and lengthy design cycles. This paper presents a versatile hardware acceleration system based on FPGA, achieving optimization through both hardware implementation and software inference arch… Show more
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