ViTCN: Hybrid Vision Transformer with Temporal Convolution for Multi-Emotion Recognition

ViTCN: Hybrid Vision Transformer with Temporal Convolution for Multi-Emotion Recognition

Abstract In Talentino, HR-Solution analyzes candidates’ profiles and conducts interviews. Artificial intelligence is used to analyze the video interviews and recognize the candidate’s expressions during the interview. This paper introduces ViTCN, a combination of Vision Transformer (ViT) and Tempora...

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Bibliographic Details
Main Authors: Kamal Zakieldin, Radwa Khattab, Ehab Ibrahim, Esraa Arafat, Nehal Ahmed, Elsayed Hemayed
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Emotion-recognition
Computer-vision
Deep-learning
Vision-transformer
Temporal-convolution-network
Online Access:https://doi.org/10.1007/s44196-024-00436-5

Internet

https://doi.org/10.1007/s44196-024-00436-5

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