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RefTextCOD: Camouflaged Object Detection
Updated 9 July 2026
- RefTextCOD is a novel framework that integrates textual cues with image analysis to detect camouflaged objects in complex environments.
- Its methodology employs SCOUT techniques to highlight subtle visual patterns, resulting in improved precision over traditional methods.
- The approach offers significant implications for surveillance and environmental monitoring by enhancing object recognition in low-contrast scenes.
Searching arXiv for the named papers and closely related work to ground the article. arXiv_search query: RefTextCOD SCOUT camouflaged object detection (Yan et al., 25 Aug 2025)