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 CNN model to detect hand gestures.

SingleVC performs any-to-one VC, which is an important component of MediumVC project.

PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML)

DeepMoCap: Deep Optical Motion Capture using multiple Depth Sensors and Retro-reflectors

Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

This is the repo of the manuscript "Dual-branch Attention-In-Attention Transformer for speech enhancement"

For encoding a text longer than 512 tokens, for example 800. Set max_pos to 800 during both preprocessing and training.

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MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

Construct a neural network frame by Numpy

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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

SuperSDR: multiplatform KiwiSDR + CAT transceiver integrator

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

CLIP+FFT text-to-image

Implement face detection, and age and gender classification, and emotion classification.