Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception
Researchers have developed Thermo-VL, a new vision-language model designed to process thermal infrared imagery alongside standard RGB data. This model aims to improve performance in low-light conditions by leveraging the complementary scene structure captured by thermal sensors. Thermo-VL integrates a trainable thermal encoder with a frozen language model backbone, using a novel fusion module to condition thermal features on both text and RGB context. AI
IMPACT Enhances vision-language model capabilities for low-light and cross-spectrum reasoning tasks.