TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Last update: Jan 04, 2023

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Overview

TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

This is the official code release for the paper 'TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling'.

Introduction

Tip-Adapter provides faster convergence and better performance than CLIP-Adapter by initializing the adapter with a cache model.

Implementation

Put tip_adapter_ImageNet.py into clip's folder and run

python tip_adapter_ImageNet.py

you will get 65.51% on ImageNet validation set.

This repo will be completed in a few days.

Contributors

Peng Gao, Renrui Zhang

Acknowledgment

CLIP, CoOp and CLIP-Adapter

Owner

peng gao

Young Scientist at Shanghai AI Lab

GitHub Repository

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TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Related tags

Overview

TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Introduction

Implementation

Contributors

Acknowledgment

Owner

peng gao

A parallel framework for population-based multi-agent reinforcement learning.

MIRACLE (Missing data Imputation Refinement And Causal LEarning)

Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.

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