DMPFDet: An end-to-end deformable mutual-promotion learning network for multispectral visible–infrared fusion detection

Key Points

• Detection accuracy improves with the deformable mutual-promotion learning approach, enhancing multispectral imaging.
• Key evidence shows an increase in detection performance by up to 25% compared to traditional methods.
• Observational analysis utilizes a novel learning network for multispectral visible-infrared fusion detection.
• Highlights a potential for significant advancements in imaging technology, indicating further research opportunities.