Denoising-Enhanced Coarse-to-Fine Infrared Small Target Detection with Attention Prior-Guided Knowledge Distillation
ECFNet is a coarse-to-fine framework for detecting small targets in infrared images amidst complex backgrounds. It uses a Region Binary Classification Network (RBCN) for efficient proposals, Denoising-Assisted Training to improve background discrimination, and Attention Prior-Guided Knowledge Distillation to refine the final detection stage. This combination achieves high accuracy while maintaining real-time processing speed.