JH-LEE-KR/dualprompt-pytorch
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
This is a PyTorch implementation of DualPrompt, a method for training machine learning models to continuously learn new information without forgetting previously learned knowledge. It takes image datasets like CIFAR-100 or ImageNet-R as input and produces a trained model that can classify new images while retaining accuracy on older tasks. This tool is for machine learning researchers and engineers working on computer vision tasks who need to deploy models in dynamic environments.
125 stars. No commits in the last 6 months.
Use this if you need to train image classification models that can adapt to new data over time without having to retrain from scratch on all historical data.
Not ideal if you are looking for a pre-trained, production-ready model or if your primary interest is in domains other than computer vision.
Stars
125
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 12, 2023
Commits (30d)
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