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A 389 TOPSW Always ON Region Proposal Integrated Circuit Using In-Memory C o m p
提出一种基于9T-SRAM存内计算的区域提议网络,用于神经形态视觉传感器的能效优化。
389 TOPS/W能效, 1259 ft/s吞吐量@1Meps事件率
神经形态视觉传感器存内计算区域提议网络能效优化9T-SRAM
▸9T-SRAM存内计算单元实现1-D投影
▸迭代选择性搜索算法生成目标边界框
▸高能效区域提议硬件架构
Abstract
Neuromorphic vision sensors (NVSs) are key
enablers of energy savings in Internet of Things (IoT)-based
traffic monitoring and surveillance systems that exploit the
temporal redundancy in video streams. However, for these
scenarios, an object typically occupies a fraction of the full
image frame leading to a significant spatial redundancy in the
active image. Hence, there is a need for energy-efficient, dedicated
hardware to detect the region of interests (RoI) to exploit spatial
redundancy in the