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@@ -153,7 +153,7 @@ Specifically, for the “disgust” category, the model often misclassifies it a
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  Moreover, the dataset’s "disgust" category contains mainly non-human images, causing the model to favor global recognition, which hinders its ability to capture the subtle differences in disgust.
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- In this experiment, we extended the emotion recognition task to an emotion perception task, requiring the model to not only perceive human emotional changes but also possess the ability to sense emotions in the physical world. Although this goal is exciting, we found that the model's emotion perception remains driven by illusions, making it difficult to achieve stable, common-sense-based understanding.
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  ### Summary
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  Moreover, the dataset’s "disgust" category contains mainly non-human images, causing the model to favor global recognition, which hinders its ability to capture the subtle differences in disgust.
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+ In this experiment, we extended the emotion recognition task to an emotion perception task, requiring the model to not only perceive human emotional changes but also possess the ability to generate emotions from the physical world. Although this goal is exciting, we found that the model's emotion going remains driven by illusions, making it difficult to achieve stable, common-sense-based understanding.
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  ### Summary
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