Facial Expression Recognition in the Wild using Artificial Rabbits Optimizer based Residual Neural Network

In affective computing, emotion acknowledgement in the wild is a much-studied area. Although there have been advancements, the difficulty of emotion acknowledgement in the wild due to head movement, face deformation, illumination fluctuation, etc. remains an open subject. To improve the model's...

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Veröffentlicht in:	2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) S. 488 - 493
Hauptverfasser:	Metkewar, P S, Uma, N, Dhanaraj, Rajesh Kumar, Prabhu Kavin, Balasubramanian, Sathyamoorthy, Malathy
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.11.2023
Schlagworte:	Adaptation models Adaptive equalizers Artificial Rabbits Optimization Computational modeling Contrast Limited Adaptive Histogram Equalization Emotion recognition Face recognition Histograms Rabbits Residual Neural Network Stochastic gradient descent Training
Online-Zugang:	Volltext
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