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Aug 2026

Real-time detection of outdoor non-obvious anthropogenic trace via texture contrast learning

Experiments demonstrate that the proposed self-supervised machine vision framework effectively segments camouflaged traces in low-quality, unlabeled outdoor images captured by a mobile robot, outperforming existing COD models in adaptation speed and segmentation accuracy on a challenging custom rescue dataset.

Shuai Wang, Jiajie Sha, Wei You et al. · 0 citations