MCUFlowNet: Hardware-Aware Neural Architecture Search for Optical Flow on Microcontrollers

Dense optical flow allows small drones to avoid obstacles. However, few dense optical flow networks are designed for microcontrollers (MCUs) with neural accelerators, whose on-chip SRAM limits the input resolution. We present PACE-NAS, a macro-to-micro neural architecture search framework that decouples memory from latency: a macro design fixes the backbone and its peak SRAM, and a micro design searches operators and depths to trade accuracy against compiler-estimated latency. We apply it to Ed…

Source: arXiv cs.AR (Hardware Architecture), published 2026-11-06. The summary is the Hub's own; the full story is at the source. Report a rights or accuracy concern