Buckets:
| { | |
| "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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