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Found 2 papers, 1 papers with code
Fine-tuning of Convolutional Neural Networks for the Recognition of Facial Expressions in Sign Language Video Samples
In this paper, we investigate the capability of convolutional neural networks to recognize in sign language video frames the six basic Ekman facial expressions for ‘fear’, ‘disgust’, ‘surprise’, ‘sadness’, ‘happiness’, ‘anger’ along with the ‘neutral’ class.
Highly Generalizable Models for Multilingual Hate Speech Detection
Hate speech detection has become an important research topic within the past decade.
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