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Openvision Vit Tiny Patch8 224
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Openvision Vit Tiny Patch8 224

Developed by UCSC-VLAA
OpenVision is a fully open, cost-effective advanced vision encoder family focused on multimodal learning.
Multimodal FusionOpen Source License:Apache-2.0#Multimodal Visual Encoding#Open Architecture#Cost-Effective
Downloads 123
Release Time : 5/6/2025

Model Overview

OpenVision is an open family of vision encoders designed to provide cost-effective solutions for multimodal learning. It supports image feature extraction tasks and is suitable for various visual and cross-modal applications.

Model Features

Fully Open Architecture
Adopts a completely open architecture design, facilitating community use and improvement
Cost-Effective
Optimizes computational resource requirements while maintaining high performance
Multimodal Support
Designed for multimodal learning scenarios, supporting joint representation of vision and language

Model Capabilities

Image Feature Extraction
Cross-Modal Representation Learning
Vision-Language Alignment

Use Cases

Computer Vision
Image Retrieval
Uses extracted image features for efficient similar image retrieval
Visual Question Answering
Provides image feature representations for visual question answering systems
Multimodal Applications
Image-Text Matching
Learns a joint representation space for images and text
Cross-Modal Retrieval
Supports cross-modal retrieval from image to text or text to image
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