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

3.8% and 18.3% on CIFAR-10 and CIFAR-100

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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

3.8% and 18.3% on CIFAR-10 and CIFAR-100

[NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

The Instructed Glacier Model (IGM)

Annotate with anyone, anywhere.

Face and other object detection using OpenCV and ML Yolo

This is a file about Unet implemented in Pytorch

This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger Bands to create a projected active liquidity range.

Automatic Idiomatic Expression Detection

TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How

Novel Instances Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection

A python script to convert images to animated sus among us crewmate twerk jifs as seen on r/196

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