Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception 事件

Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception arXiv:2605.25651v1 Announce Type: new Abstract: Camouflaged object detection (COD) aims to localize targets that exhibit minimal perceptual differences from backgrounds through physical attributes. Existing methods, constrained by the static train-then-freeze paradigm, suffer from domain rigidity and annotation dependency, limiting their adaptability to scene variations and unseen camouflage patterns. To overcom