Nov. 5, 2023, 6:48 a.m. | Haechang Lee, Wongi Jeong, Dongil Ryu, Hyunwoo Je, Albert No, Kijeong Kim, Se Young Chun

cs.CV updates on arXiv.org arxiv.org

Despite significant research on lightweight deep neural networks (DNNs)
designed for edge devices, the current face detectors do not fully meet the
requirements for "intelligent" CMOS image sensors (iCISs) integrated with
embedded DNNs. These sensors are essential in various practical applications,
such as energy-efficient mobile phones and surveillance systems with always-on
capabilities. One noteworthy limitation is the absence of suitable face
detectors for the always-on scenario, a crucial aspect of image sensor-level
applications. These detectors must operate directly with sensor …

applications arxiv cmos current devices edge edge devices embedded energy face image intelligent mobile mobile phones networks neural networks phones practical requirements research sensors surveillance systems

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