Knowledge Transfer in Vision Recognition: A Survey - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2020

Knowledge Transfer in Vision Recognition: A Survey

Résumé

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.
Fichier principal
Vignette du fichier
TL_survey_final.pdf (982.4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02101005 , version 1 (16-04-2019)
hal-02101005 , version 2 (09-12-2019)
hal-02101005 , version 3 (23-01-2020)

Identifiants

  • HAL Id : hal-02101005 , version 3

Citer

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

Partager

Gmail Facebook X LinkedIn More