A hierarchical VFM-driven knowledge distillation method with semantic-conditioned modulation and cluster reweighting stabilizes point-supervised infrared small target detection and improves accuracy.
Bilevel optimization for adversar- ial learning problems: Sharpness, generation, and be- yond.Advances in Neural Information Processing Sys- tems, 38:29102–29130
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Learning with Semantic Priors: Stabilizing Point-Supervised Infrared Small Target Detection via Hierarchical Knowledge Distillation
A hierarchical VFM-driven knowledge distillation method with semantic-conditioned modulation and cluster reweighting stabilizes point-supervised infrared small target detection and improves accuracy.