AI RESEARCH
BlankSkip: Early-exit Object Detection onboard Nano-drones
arXiv CS.CV
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ArXi:2603.28149v1 Announce Type: new Deploying tiny computer vision Deep Neural Networks (DNNs) on-board nano-sized drones is key for achieving autonomy, but is complicated by the extremely tight constraints of their computational platforms (approximately 10 MiB memory, 1 W power budget). Early-exit adaptive DNNs that dial down the computational effort for "easy-to-process" input frames represent a promising way to reduce the average inference latency.