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Finally, an examination of the class-wise expression accuracy reveals that the proposed model achieves strong recognition performance for several categories, most notably happiness (95.27%), neutral (90.44%), and sadness (88.08%). In contrast, fear (60.81%) remains the most challenging category, largely due to its similarity with expressions such as surprise and sadness. This outcome aligns with prior findings in the FER literature, which highlight the inherent difficulty of distinguishing subtle expressions like fear and disgust from neighboring affective states.
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IEEE/ICACT20260151 Slide.16
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