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Videorefer 7B
VideoRefer-7B is a multimodal large language model focused on video question answering tasks, capable of understanding and analyzing spatiotemporal object relationships in videos.
Downloads 87
Release Time : 12/31/2024
Model Overview
VideoRefer-7B is a video large language model based on the Qwen2-7B-Instruct language decoder and siglip-so400m-patch14-384 visual encoder, primarily used for visual question answering tasks, supporting spatiotemporal object understanding of video content.
Model Features
Multimodal Understanding
Combines visual and linguistic information to understand objects and their spatiotemporal relationships in videos.
Large Language Model Support
Based on the Qwen2-7B-Instruct language decoder, it possesses powerful language understanding and generation capabilities.
High-Precision Visual Encoding
Uses the siglip-so400m-patch14-384 visual encoder to provide high-quality visual feature extraction.
Model Capabilities
Video Content Understanding
Spatiotemporal Object Relationship Analysis
Visual Question Answering
Multimodal Reasoning
Use Cases
Video Analysis
Video Question Answering
Answers complex questions about video content, understanding changes in objects over time and space.
High-accuracy video question answering capability
Education
Educational Video Comprehension
Helps students understand key concepts and object relationships in educational videos.
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