arxivcs.CVcs.LGcs.RO2026-07-20
Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics
Hamidreza Yaghoubi Araghi, Parastoo Pilevar, Ming C. Lin
Robotic perception pipelines increasingly rely on large vision backbones deployed on SWaP-constrained edge platforms, making post-training quantization (PTQ) attractive for real-time inference. However, while PTQ often preserves clean in-distribution accuracy, we show that it can…