Feb. 21, 2024, 5:46 a.m. | Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.12928v1 Announce Type: cross
Abstract: By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed to evaluate literature reviews automatically. To facilitate this, …

abstract analysis arxiv concerns cs.ai cs.cv cs.dl intelligence knowledge literature machine machine intelligence raise researchers review reviews type understanding

AI Research Scientist

@ Vara | Berlin, Germany and Remote

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

Senior Machine Learning Engineer

@ Samsara | Canada - Remote