End-to-end Saliency Face Detection and Recognition Article Swipe
Jingqian Gao
,
Minqiang Xu
,
Huan Wang
,
Ji Zhou
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2171/1/012004
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2171/1/012004
Face recognition is a long-lasting hot topic in compute vision. The face recognition system mainly includes face detection, alignment and feature extraction. In the forward task, the extracted features are used to measure the similarity between faces, and outputs whether those are same person or not or which person it is in the registered set. Typically, the three stages of recognition system training independently of each other have the following shortcomings: 1) redundant calculation of feature maps; 2) unable to end-to-end optimization; 3) detecting an extracting so much useless face. A lightweight model for saliency face detection and recognition that can be optimized end-to-end is proposed. While maintaining accuracy, it meets the real-time and memory limitation requirements in embedded devices or terminals.
Related Topics
Concepts
Facial recognition system
Computer science
Artificial intelligence
Face (sociological concept)
Face detection
Pattern recognition (psychology)
Feature (linguistics)
Similarity (geometry)
Computer vision
Task (project management)
Feature extraction
Three-dimensional face recognition
Set (abstract data type)
End-to-end principle
Object-class detection
Image (mathematics)
Engineering
Linguistics
Systems engineering
Social science
Philosophy
Programming language
Sociology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2171/1/012004
- OA Status
- diamond
- Cited By
- 2
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4207024300
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4207024300Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2171/1/012004Digital Object Identifier
- Title
-
End-to-end Saliency Face Detection and RecognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Jingqian Gao, Minqiang Xu, Huan Wang, Ji ZhouList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2171/1/012004Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/2171/1/012004Direct OA link when available
- Concepts
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Facial recognition system, Computer science, Artificial intelligence, Face (sociological concept), Face detection, Pattern recognition (psychology), Feature (linguistics), Similarity (geometry), Computer vision, Task (project management), Feature extraction, Three-dimensional face recognition, Set (abstract data type), End-to-end principle, Object-class detection, Image (mathematics), Engineering, Linguistics, Systems engineering, Social science, Philosophy, Programming language, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 2Per-year citation counts (last 5 years)
- References (count)
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13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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