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✨VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
📝 Summary:
VidVec uses intermediate MLLM layers for zero-shot video-text retrieval. A novel text-based alignment, mapping video captions to summaries, learns embeddings without visual supervision. It achieves state-of-the-art results on video retrieval benchmarks.
🔹 Publication Date: Published on Feb 8
🔹 Paper Links:
• arXiv Page: https://www.arxiv.org/abs/2602.08099
• PDF: https://arxiv.org/pdf/2602.08099
• Project Page: https://iyttor.github.io/VidVec
• Github: https://iyttor.github.io/VidVec
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoTextRetrieval #MLLM #Embeddings #ZeroShotLearning #AI
📝 Summary:
VidVec uses intermediate MLLM layers for zero-shot video-text retrieval. A novel text-based alignment, mapping video captions to summaries, learns embeddings without visual supervision. It achieves state-of-the-art results on video retrieval benchmarks.
🔹 Publication Date: Published on Feb 8
🔹 Paper Links:
• arXiv Page: https://www.arxiv.org/abs/2602.08099
• PDF: https://arxiv.org/pdf/2602.08099
• Project Page: https://iyttor.github.io/VidVec
• Github: https://iyttor.github.io/VidVec
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoTextRetrieval #MLLM #Embeddings #ZeroShotLearning #AI