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SL_Hard_zip

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SL_Hard_zip

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SL_Hard_zip

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Sl_hard_zip May 2026

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

If you are looking for the source code or the environment setup related to this paper, you can find the implementation details on the MS-SL GitHub repository. SL_Hard_zip

Ground truth or processed metadata for datasets like TVR , ActivityNet , or Charades-STA . Specifically curated data points used to train models

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: While the exact filename "SL_Hard

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 .

Are you trying to from a specific video-text retrieval model, or

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SL_Hard_zip

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

If you are looking for the source code or the environment setup related to this paper, you can find the implementation details on the MS-SL GitHub repository.

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

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 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 .

Are you trying to from a specific video-text retrieval model, or