AI RESEARCH
Adaptive Attention Distillation for Robust Few-Shot Segmentation under Environmental Perturbations
arXiv CS.CV
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ArXi:2601.03596v3 Announce Type: replace Few-shot segmentation (FSS) aims to rapidly learn novel class concepts from limited examples to segment specific targets in unseen images, and has been widely applied in areas such as medical diagnosis and industrial inspection. However, existing studies largely overlook the complex environmental factors encountered in real world scenarios-such as illumination, background, and camera viewpoint-which can substantially increase the difficulty of test images.