LLM2CLIP
LLM2CLIP significantly improves already state-of-the-art CLIP models.
About
Welcome to the official repository for LLM2CLIP! This project leverages large language models (LLMs) as powerful textual teachers for CLIP's visual encoder, enabling more nuanced and comprehensive multimodal learning.
Open Source Health
- Stars
- 689
- Forks
- 33
- License
- MIT
- Last commit
- 8 months ago
Related Categories
Vendor
Microsoft
Empower every person and organization to achieve more.
Quick Links
Open Source
More by Microsoft
Related Products
Recognizers-Text
Recognizers-Text offers entity recognition and resolution for numbers, dates, and units in multiple languages.
More from this vendor
Language Server Protocol
Defines a common protocol for language servers.
More from this vendor
Lamar Benchmark
Source code for the ECCV 2022 paper "Benchmarking Localization and Mapping for Augmented Reality".
More from this vendor
Pyright
Static Type Checker for Python
More from this vendor
Component Detection
Scans your project to determine what components you use
More from this vendor