Invisible gas detection: An RGB-thermal cross attention network and a new benchmark

Jue Wang, Yuxiang Lin, Qi Zhao, Dong Luo, Shuaibao Chen, Wei Chen, Xiaojiang Peng

Abstract: Highlights•We design the RT-CAN for invisible gas detection.•We propose the RCA and GTA Module for feature fusion and information extraction.•Our method achieved SOTA results in gas detection task.•We introduce Gas-DB database, including 1.3K well-annotated RGB-thermal pair images.