On-device NAS for sEMG sign language and bearing fault datasets yields architectures with lower RAM use and higher accuracy than prior methods when executed on Raspberry Pi 4.
Mcunetv2: Memory- efficient patch-based inference for tiny deep learning,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.
citing papers explorer
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On-Device Neural Architecture Search
On-device NAS for sEMG sign language and bearing fault datasets yields architectures with lower RAM use and higher accuracy than prior methods when executed on Raspberry Pi 4.
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Tiny Collaborative Inference for Occlusion-Robust Object Detection
Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.