IDEA introduces a transformative approach that leverages textual descriptions alongside visual features to dramatically improve object re-identification systems.

• Pioneers text-enhanced multi-modal ReID benchmarks with structured caption generation
• Implements Inverted Text with cooperative Deformable Aggregation to better bridge text and visual features
• Achieves state-of-the-art performance in visual-infrared, RGB-depth, and RGB-thermal recognition tasks
• Offers robust solutions for security applications where object tracking across different sensors is critical

This innovation significantly advances security monitoring capabilities by enabling more accurate object tracking across varied environments and lighting conditions, with potential applications in surveillance, retail analytics, and smart cities.

Original Paper: IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification