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papersTODAY 04:00 UTC

arXiv Paper Proposes Hardware-Aware Compression for In-Sensor Vision Systems

A new arXiv preprint describes a method for compressing learned representations so that early-stage image processing can run on logic chips co-integrated with CMOS image sensors. The approach is designed around the tight compute and memory limits of such hardware, aiming to cut the cost of transmitting high-resolution image data in distributed vision setups. The work falls under machine learning research on efficient on-sensor computing.

arXiv CMOS image sensors distributed vision efficient on-sensor computing hardware-aware compression in-sensor computing

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arXiv cs.AIHardware-Aware Learned Representation Compression for Distributed In-Sensor Vision ↗TODAY 04:00 UTC

arXiv cs.LGHardware-Aware Learned Representation Compression for Distributed In-Sensor Vision ↗TODAY 04:00 UTC