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Videorefer 7B Stage2.5
VideoRefer-7B is a multimodal model based on a video large language model, focusing on spatio-temporal object understanding tasks.
Downloads 20
Release Time : 12/31/2024
Model Overview
The VideoRefer suite is an advanced solution for spatio-temporal object understanding based on video large language models, supporting visual question answering tasks.
Model Features
Multimodal Understanding
Combines visual and language information to achieve spatio-temporal object understanding of video content.
Large Language Model Integration
Based on the Qwen2-7B-Instruct language decoder, it possesses powerful language understanding and generation capabilities.
Efficient Visual Encoding
Uses the siglip-so400m-patch14-384 visual encoder to efficiently process video frame information.
Model Capabilities
Video Content Understanding
Spatio-Temporal Object Localization
Visual Question Answering
Multimodal Reasoning
Use Cases
Video Analysis
Video Object Tracking
Identify and track the spatio-temporal positions of specific objects in videos.
Video Question Answering System
Answer natural language questions about video content.
Intelligent Surveillance
Abnormal Behavior Detection
Analyze abnormal object behaviors in surveillance videos.
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