Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Knowledge Transfer in Vision Recognition: A Survey

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, and then we categorize different knowledge transfer approaches depending on where the knowledge comes from and where the knowledge goes. Compared to previous surveys on knowledge transfer that are from the problem-oriented perspective or from the technique-oriented perspective, our viewpoint is closer to the nature of knowledge transfer and reveals common rules behind different transfer learning settings and applications. Besides different knowledge transfer categories, we also show some research works that study the transferability between different vision recognition tasks. We further give a discussion about the introduced research works and show some potential research directions in this field.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [151 references]  Display  Hide  Download
Contributor : ying lu Connect in order to contact the contributor
Submitted on : Thursday, January 23, 2020 - 10:55:53 AM
Last modification on : Wednesday, November 3, 2021 - 6:39:00 AM


Files produced by the author(s)


  • HAL Id : hal-02101005, version 3


Ying Lu, Lingkun Luo, Di Huang, Yunhong Wang, Liming Chen. Knowledge Transfer in Vision Recognition: A Survey. 2020. ⟨hal-02101005v3⟩



Record views


Files downloads