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Author Lu, Ying ♦ Luo, Lingkun ♦ Huang, Di ♦ Saidi, Alexandre ♦ Wang, Yunhong ♦ Chen, Liming
Source Hyper Articles en Ligne (HAL)
Content type Text
File Format PDF
Language English
Subject Keyword transfer learning ♦ vision recognition ♦ computer vision ♦ machine learning ♦ info ♦ Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract In this survey, we propose to explore and discuss the common rules behind knowledge transfer works for vision recognition tasks. To achieve this, we firstly discuss the different kinds of reusable knowledge existing in a vision recognition task, then we categorize different knowledge transfer approaches depending on where the knowledge come from and where the knowledge go to. This viewpoint is different to previous surveys on knowledge transfer. We further show that some potential research directions could be induced based on our categorization methodology.
Educational Use Research
Learning Resource Type Article