PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Last update: Dec 27, 2022

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Deep Learning CVPR21_PASS

Overview

PASS - Official PyTorch Implementation

[CVPR2021 Oral] Prototype Augmentation and Self-Supervision for Incremental Learning

Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu
Paper

Usage

run main.py.

Citation

@InProceedings{Zhu_2021_CVPR,
    author    = {Zhu, Fei and Zhang, Xu-Yao and Wang, Chuang and Yin, Fei and Liu, Cheng-Lin},
    title     = {Prototype Augmentation and Self-Supervision for Incremental Learning},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {5871-5880}
}

Reference

Our implementation references the codes in the following repositories:

Owner

deep learning, computer vision

GitHub Repository

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PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Related tags

Overview

PASS - Official PyTorch Implementation

[CVPR2021 Oral] Prototype Augmentation and Self-Supervision for Incremental Learning

Usage

Citation

Reference

Owner

Zero-shot Synthesis with Group-Supervised Learning (ICLR 2021 paper)

The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure

This repository contains implementations and illustrative code to accompany DeepMind publications

The code repository for EMNLP 2021 paper "Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization".

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