✨MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation
📝 Summary:
MeViS is a multi-modal dataset for referring motion expression video segmentation, addressing the need to segment and track objects based on their motion descriptions. It provides text and audio annotations for complex videos, enabling research into motion-guided video understanding.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10945
• PDF: https://arxiv.org/pdf/2512.10945
• Project Page: https://henghuiding.com/MeViS/
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoSegmentation #MultiModalAI #ComputerVision #Dataset #MotionUnderstanding
📝 Summary:
MeViS is a multi-modal dataset for referring motion expression video segmentation, addressing the need to segment and track objects based on their motion descriptions. It provides text and audio annotations for complex videos, enabling research into motion-guided video understanding.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10945
• PDF: https://arxiv.org/pdf/2512.10945
• Project Page: https://henghuiding.com/MeViS/
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoSegmentation #MultiModalAI #ComputerVision #Dataset #MotionUnderstanding
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