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Sl_hard_zip

The file appears to be a specific dataset or supplement related to the MS-SL (Multi-Scale Semantic Linking) framework, often cited in computer vision and video analysis research. It is frequently associated with a 2022 ACM Multimedia (MM '22) paper titled "Multi-Scale Semantic Linking for Video-Text Retrieval" or similar works from the HuiGuanLab .

Specifically curated data points used to train models to distinguish between very similar but incorrect matches (crucial for "Hard" contrastive learning). SL_Hard_zip

While the exact filename "SL_Hard.zip" is common in shared research directories (like Google Drive or Dropbox links found in GitHub repositories), it typically contains: The file appears to be a specific dataset

Ground truth or processed metadata for datasets like TVR , ActivityNet , or Charades-STA . or Charades-STA .