ResNet50 algorithm.

<div><p>Emotion recognition faces significant challenges in complex real-world environments, particularly under facial occlusion conditions that severely impact traditional deep learning approaches. This research proposes ChildEmoNet, a novel cascaded emotion recognition framework that s...

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Bibliographic Details
Main Author:	Zhang Shanshan (22272359) (author)
Other Authors:	Sha Yanlin (22272362) (author), Loy Chee Luen (22272365) (author)
Published:	2025
Subjects:	Microbiology Molecular Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified research proposes childemonet proposed model achieves primary contributions include experimental validation confirms comprehensive evaluation across classification challenges simultaneously childemonet model based emotion recognition applications facial occlusion scenarios facial occlusion conditions robust emotion recognition discriminative feature extraction feature extraction recognition accuracy world conditions person scenarios robust solution robust multi world environments traditional methods processing multi partial occlusions maintains 79 face orientations extensive experiments crucial role complex real complex environments challenging real arousal prediction
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ResNet50 algorithm.

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