AINeutralarXiv – CS AI · 14h ago6/10
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Energy-Aware NECO for Single-Pass Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Researchers propose Energy-Aware NECO, a single-pass machine learning method for detecting out-of-distribution data in semantic segmentation tasks. The hybrid approach combines geometric and energy-based scoring to achieve 85.39% detection accuracy while maintaining computational efficiency for edge deployment on mobile robots.