Prior-Gated Adaptation With Multi-Granularity Structural Refinement for Fine-Grained Infrared Small-Target Segmentation
Accurate infrared small-target segmentation is an inherently challenging low signal-to-noise ratio task, where targets occupy only a few pixels and are often obscured by weak responses, ambiguous boundaries, and complex clutter. Although vision foundation models offer transferable representations, their direct adaptati...