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Invisible Gas Detection: An RGB-Thermal Cross Attention Network and A New Benchmark
March 27, 2024, 4:46 a.m. | Jue Wang, Yuxiang Lin, Qi Zhao, Dong Luo, Shuaibao Chen, Wei Chen, Xiaojiang Peng
cs.CV updates on arXiv.org arxiv.org
Abstract: The widespread use of various chemical gases in industrial processes necessitates effective measures to prevent their leakage during transportation and storage, given their high toxicity. Thermal infrared-based computer vision detection techniques provide a straightforward approach to identify gas leakage areas. However, the development of high-quality algorithms has been challenging due to the low texture in thermal images and the lack of open-source datasets. In this paper, we present the RGB-Thermal Cross Attention Network (RT-CAN), which …
abstract arxiv attention benchmark computer computer vision cs.cv detection development however identify industrial network processes storage toxicity transportation type vision
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