GPF-Net: Gated Progressive Fusion Learning for Polyp Re-Identification
GPF-Net is a novel architecture for matching colonoscopic polyps across different views. It uses a gated progressive fusion strategy to selectively combine low-level and high-level features from images and text descriptions. This selective fusion refines semantic information layer by layer, improving the identification accuracy of small polyps.