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SmileNet: Registration-Free Smiling Face Detection

SmileNet: Registration-Free Smiling Face Detection

Abstract

SmileNet is a novel smiling face detection framework that uses a Fully Convolutional Neural Network (FCNN) to detect multiple faces and recognize smiles in the wild. This framework is designed to be registration-free, meaning it does not require any prior knowledge of the face's location or orientation. The FCNN architecture allows for efficient and accurate detection of faces and smiles, making it a valuable tool for various applications such as security, marketing, and social media analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average