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{
"dataset": "FER2013",
"model_name": "VGG based",
"model_links": [],
"paper_title": "IdentiFace : A VGG Based Multimodal Facial Biometric System",
"paper_url": "https://arxiv.org/abs/2401.01227v2",
"metrics": {
"5-class test accuracy": "66.13%"
},
"table_metrics": {
"5-class test accuracy": "66.13%"
},
"prompts": [
"Given the following paper and codebase:\nPaper: IdentiFace : A VGG Based Multimodal Facial Biometric System\nCodebase: Repository not available\n\nImprove the VGG based model on the FER2013 dataset. The result should improve on the following metrics: {'5-class test accuracy': '66.13%'}. You must use only the codebase provided."
]
}

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686 Bytes
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0d58070160cfb276ca1f3d233400ac82b60f7dfe80f8395bf1b4dc4c3caacd64

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