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{
"dataset": "SumMe",
"model_name": "CSTA",
"model_links": [],
"paper_title": "CSTA: CNN-based Spatiotemporal Attention for Video Summarization",
"paper_url": "https://arxiv.org/abs/2405.11905v2",
"metrics": {
"Kendall's Tau": "0.246",
"Spearman's Rho": "0.274"
},
"table_metrics": {
"Kendall's Tau": "0.246",
"Spearman's Rho": "0.274"
},
"prompts": [
"Given the following paper and codebase:\nPaper: CSTA: CNN-based Spatiotemporal Attention for Video Summarization\nCodebase: Repository not available\n\nImprove the CSTA model on the SumMe dataset. The result should improve on the following metrics: {\"Kendall's Tau\": '0.246', \"Spearman's Rho\": '0.274'}. You must use only the codebase provided."
]
}

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