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arXiv Computer Vision By Enmin Lin, Jona Beysens

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

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MCUFlowNet introduces a hardware‑aware neural architecture search framework, PACE‑NAS, that separates memory usage from latency for optical flow networks on microcontrollers. By fixing the backbone’s peak SRAM and searching for efficient operators and depths, the authors reduce peak SRAM usage by 18% and improve accuracy with lightweight context modules. The resulting MCUFlowNet models, particularly MCUFlowNet‑S, run 1.76× faster than a retrained EdgeFlowNet while achieving comparable or better performance in simulated drone flight tests, and the approach also benefits semantic segmentation tasks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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