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

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Comments

The problem of accuracy?
Thanks for your great job! When I run this code with COOP, I find the result of trained on oxford_flowers is great, => result => result

total: 2,463

correct: 2,332

accuracy: 94.7%

error: 5.3%

macro_f1: 94.6% Elapsed: 0:15:09 But if I run it again(as your code show, it will use the model I trained last time, which got good results), it gets a bad result as follows: => result

total: 2,463

correct: 24

accuracy: 1.0%

error: 99.0%

macro_f1: 0.1% Elapsed: 0:00:11 I am not sure why it produces a bad result， can you give me some advice.
opened by Zhangwenyao1 0
questions about text adapter

hello, you said in your paper that you use adapter in both visual and text stream, but in your code i just find the visual one, which one is correct? Thanks a lot.

opened by zhangbw21 1

Owner

peng gao

Young Scientist at Shanghai AI Lab

GitHub

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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

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Comments

The problem of accuracy?

questions about text adapter

Owner

peng gao

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