all AI news
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
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 10 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Applied Scientist
@ Microsoft | Redmond, Washington, United States
Data Analyst / Action Officer
@ OASYS, INC. | OASYS, INC., Pratt Avenue Northwest, Huntsville, AL, United States