OpenVision Open-Source Visual Encoder - Focused on Multimodal Learning, a Fully Open and Cost-Effective Choice

Openvision Vit Huge Patch14 224

Developed by UCSC-VLAA

OpenVision is a fully open, cost-effective advanced vision encoder family focused on multimodal learning.

Downloads 27

Release Time : 5/6/2025

Model Overview

This model aims to provide efficient visual feature extraction capabilities, supporting multimodal learning tasks.

Fully Open Architecture

Adopts a completely open architecture design, facilitating research and commercial applications

Cost-Effective

Optimizes computational resource usage while maintaining high performance

Multimodal Support

Designed specifically for multimodal learning tasks

Image Feature Extraction

Multimodal Learning

Visual Representation Learning

Computer Vision

Image Retrieval

Utilizes extracted visual features for efficient image retrieval

Cross-Modal Learning

Supports joint representation learning of vision and language modalities

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