Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

Last update: Dec 26, 2022

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Overview

Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

Pipeline of CLIP-Adapter

CLIP-Adapter is a drop-in module designed for CLIP model on few-shot classfication tasks. CLIP-Adapter can improve the few-shot classfication of CLIP with very simple design.

Results of CLIP-Adapter compared with baseline

Comparison with CLIP, Linear-probe CLIP, CoOp on eleven few shot classfication tasks.

New version of CLIP-Adpter

Please check Training-free CLIP-Adapter.

Contributor

Shijie Geng, Renrui Zhang, Peng Gao

Acknowledegement

CLIP and CoOp

Owner

peng gao

Young Scientist at Shanghai AI Lab

GitHub Repository

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Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

Related tags

Overview

Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

Pipeline of CLIP-Adapter

Results of CLIP-Adapter compared with baseline

New version of CLIP-Adpter

Contributor

Acknowledegement

Owner

peng gao

A python-image-classification web application project, written in Python and served through the Flask Microframework

Code for ICCV 2021 paper: ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators..

Spline is a tool that is capable of running locally as well as part of well known pipelines like Jenkins (Jenkinsfile), Travis CI (.travis.yml) or similar ones.

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