April 11, 2024, 4:45 a.m. | Jingyu Zhang, Ao Xiang, Yu Cheng, Qin Yang, Liyang Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.06883v1 Announce Type: new
Abstract: With the rapid advancement of artificial intelligence technology, AI-enabled image recognition has emerged as a potent tool for addressing challenges in traditional environmental monitoring. This study focuses on the detection of floating objects in river and lake environments, exploring an innovative approach based on deep learning. By intricately analyzing the technical pathways for detecting static and dynamic features and considering the characteristics of river and lake debris, a comprehensive image acquisition and processing workflow has …

abstract advancement artificial artificial intelligence artificial intelligence technology arxiv challenges cs.ai cs.cv detection environmental environments image image recognition intelligence intelligent lake monitoring objects recognition research study technology tool type

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