Deep Learning Based Single Sample Per Person Face Recognition: A Survey

時間 2021-01-02

標籤論文研讀简体版

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A Survey Deep Learning Based Single Sample Per Person Face Recognition: A Survey ICPR2020 論文地址：https://arxiv.org/abs/2006.11395 📎 Abstract Face recognition has been an active research area in the fie

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1. SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
2. Local Generic Representation for Face Recognition with Single Sample per Person (ACCV, 2014)
3. paper review : Deep Audio-Visual learning: A Survey
4. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
5. 論文速看[2019-1-5]-Face Recognition: A Novel Multi-Level Taxonomy based Survey
6. A Survey on Deep Learning for Named Entity Recognition（2020）
7. A Survey of Recommender Systems Based on Deep Learning （1）
8. Deep Learning based Recommender System: A Survey and New Perspectives
9. Deep Facial Expression Recognition: A Survey
10. A Discriminative Feature Learning Approach for Deep Face Recognition
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1. SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
2. Local Generic Representation for Face Recognition with Single Sample per Person (ACCV, 2014)
3. paper review : Deep Audio-Visual learning: A Survey
4. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
5. 論文速看[2019-1-5]-Face Recognition: A Novel Multi-Level Taxonomy based Survey
6. A Survey on Deep Learning for Named Entity Recognition（2020）
7. A Survey of Recommender Systems Based on Deep Learning （1）
8. Deep Learning based Recommender System: A Survey and New Perspectives
9. Deep Facial Expression Recognition: A Survey
10. A Discriminative Feature Learning Approach for Deep Face Recognition

>>更多相關文章<<