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

Securetar - A streaming wrapper around python tarfile and allow secure handling files and support encryption

PyTorch implementation for paper Neural Marching Cubes.

A code generator from ONNX to PyTorch code

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Rule Extraction Methods for Interactive eXplainability

Chinese Advertisement Board Identification(Pytorch)

MAME is a multi-purpose emulation framework.

Search and filter videos based on objects that appear in them using convolutional neural networks

Unofficial implementation of HiFi-GAN+ from the paper "Bandwidth Extension is All You Need" by Su, et al.

(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

Faster RCNN pytorch windows

This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures using receptive field analysis (RFA) and create graph visualizations of your architecture.

Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

StyleMapGAN - Official PyTorch Implementation

HiddenMarkovModel implements hidden Markov models with Gaussian mixtures as distributions on top of TensorFlow

[3DV 2021] A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

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Release of the ConditionalQA dataset