Transfer learning for face identification with deep face model
Yu H.2; Luo Z.2; Tang Y.1
Source PublicationProceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
AbstractDeep face model learned on big dataset surpasses human for face recognition task on difficult unconstrained face dataset. But in practice, we are often lack of resources to learn such a complex model, or we only have very limited training samples (sometimes only one for each class) for a specific face recognition task. In this paper, we address these problems through transferring an already learned deep face model to specific tasks on hand. We empirically transfer hierarchical representations of deep face model as a source model and then learn higher layer representations on a specific small training set to obtain a final task-specific target model. Experiments on face identification tasks with public small data set and practical real faces verify the effectiveness and efficiency of our approach for transfer learning. We also empirically explore an important open problem - attributes and transferability of different layer features of deep model. We argue that lower layer features are both local and general, while higher layer ones are both global and specific which embraces both intra-class invariance and inter-class discrimination. The results of unsupervised feature visualization and supervised face identification strongly support our view.
Keyworddeep learning Discrimination face recognition invariance transfer learning
URLView the original
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Chengdu University
Recommended Citation
GB/T 7714
Yu H.,Luo Z.,Tang Y.. Transfer learning for face identification with deep face model[C],2017:13-18.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu H.]'s Articles
[Luo Z.]'s Articles
[Tang Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu H.]'s Articles
[Luo Z.]'s Articles
[Tang Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu H.]'s Articles
[Luo Z.]'s Articles
[Tang Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.