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Videolisa 3.8B
This model is a video language-guided reasoning segmentation model developed based on LLaVA-Phi-3-mini-4k-instruct, focusing on object segmentation tasks in videos.
Downloads 247
Release Time : 11/25/2024
Model Overview
The model combines language guidance and visual reasoning capabilities to achieve precise object segmentation in videos.
Model Features
Language-Guided Reasoning
Performs object segmentation in videos through natural language guidance, improving segmentation accuracy and flexibility.
Video Processing Capability
Optimized specifically for video data, capable of handling object segmentation tasks across consecutive frames.
Multimodal Fusion
Integrates visual and linguistic information for more intelligent segmentation decisions.
Model Capabilities
Video Object Segmentation
Language-Guided Reasoning
Multimodal Processing
Use Cases
Video Editing
Video Object Removal
Removes specific objects in videos through language guidance.
Accurately segments and removes specified objects while preserving background integrity.
Autonomous Driving
Road Scene Understanding
Identifies and segments various objects on the road.
Enhances the autonomous driving system's understanding of complex scenes.
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