SwiftFace: Real-Time Face Detection
- URL: http://arxiv.org/abs/2009.13743v1
- Date: Tue, 29 Sep 2020 03:09:29 GMT
- Title: SwiftFace: Real-Time Face Detection
- Authors: Leonardo Ramos, Bernardo Morales
- Abstract summary: SwiftFace is a novel deep learning model created solely to be a fast face detection model.
By focusing only on detecting faces, SwiftFace performs 30% faster than current state-of-the-art face detection models.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Computer vision is a field of artificial intelligence that trains computers
to interpret the visual world in a way similar to that of humans. Due to the
rapid advancements in technology and the increasing availability of
sufficiently large training datasets, the topics within computer vision have
experienced a steep growth in the last decade. Among them, one of the most
promising fields is face detection. Being used daily in a wide variety of
fields; from mobile apps and augmented reality for entertainment purposes, to
social studies and security cameras; designing high-performance models for face
detection is crucial. On top of that, with the aforementioned growth in face
detection technologies, precision and accuracy are no longer the only relevant
factors: for real-time face detection, speed of detection is essential.
SwiftFace is a novel deep learning model created solely to be a fast face
detection model. By focusing only on detecting faces, SwiftFace performs 30%
faster than current state-of-the-art face detection models. Code available at
https://github.com/leo7r/swiftface
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