T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining 事件

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining arXiv:2606.00673v1 Announce Type: new Abstract: Thermal imaging offers a powerful alternative to visible-spectrum vision under challenging conditions such as low illumination and adverse weather, yet foundational vision-language models like CLIP fail to align thermal images with textual descriptions due to a fundamental thermal perception gap. We identify three major challenges: the lack of captioned thermal datasets