Infrared Object

Infrared object detection leverages the unique properties of infrared imagery to identify objects, often in conjunction with visible-light data, for improved robustness and all-weather capabilities. Current research emphasizes developing advanced fusion techniques, particularly using transformer-based architectures and attention mechanisms, to effectively combine infrared and visible information, addressing challenges like modality misalignment and data imbalance. This field is crucial for enhancing the performance of autonomous systems, security applications, and remote sensing, particularly in scenarios with limited visibility or challenging environmental conditions.