Learning modality knowledge with proxy for RGB-Infrared object detection

Key Points

• The accuracy of object detection improves significantly when using RGB-infrared modality, enhancing the detection capabilities overall.
• Experimental results show a 25% increase in detection accuracy over traditional methods when employing this dual-modality approach.
• Assessment involved comparing the performance of RGB-only versus RGB-infrared systems in real-world scenarios.
• The findings indicate a need for improved machine learning models to optimize the use of dual modalities in practical applications.