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Kampol Woradit on Muck Rack

Kampol Woradit

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Articles

Military terrain-conditioned decoy-aware mask refinement network for open-vocabulary camouflaged object segmentation

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By Woojin Park, Seongmin Pyo, Haneol Jang, Cheoneum Park, Kampol Woradit
| Nature Verified
Abstract Military camouflage creates two coupled errors for open-vocabulary segmentation: uncertain object boundaries and terrain-induced class confusion. We propose the Military Terrain-Conditioned Decoy-Aware Mask Refinement Network (MT-DAMRNet), a terrain-decoy refinement layer on top of a SAM3/CLIP OVCOS backbone. The proposed design suppresses decoy-like evidence only in ambiguous mask regions and reuses the resulting signal to calibrate class logits with terrain context.
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