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

Last update: Dec 27, 2022

Related tags

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:

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

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87 Oct 19, 2022

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83 May 11, 2022

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STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re

87 Dec 28, 2022

The implementation of CVPR2021 paper Temporal Query Networks for Fine-grained Video Understanding, by Chuhan Zhang, Ankush Gupta and Andrew Zisserman.

Temporal Query Networks for Fine-grained Video Understanding 📋 This repository contains the implementation of CVPR2021 paper Temporal_Query_Networks

55 Dec 21, 2022

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

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180 Dec 30, 2022

Comments

NCM for classification

First of all, thank you for the great code repository. I noticed that you have mentioned in the paper that you are using the nearest class mean (NCM) classifier to classify between the classes. However, I could not locate the NCM classifier within the code. Could you please clarify?

opened by TamashaM 3
In SSL，the number of the logits have multiplied 4. Is it necessary？

Thanks for your great job at first! In SSL，the number of the logits have multiplied 4. Is it necessary？ What if we just augment the data without multipling the number of the logits by 4 ?

opened by ChenJunzhi-buaa 2

W

Hello , I wonder why the code in train() function writing like this?

target = torch.stack([target * 4 + k for k in range(4)], 1).view(-1)

instead of using this

target = torch.stack([target * k for k in range(4)], 1).view(-1)

opened by 2698022795 0

Prototype Augmentation and Semantic Augmentation

It seems that the prototype augmentation is very similar to semantic augmentation. Are there any specific differences in details?

Implicit semantic data augmentation for deep networks. NIPS.

opened by qsunyuan 0

Owner

deep learning, computer vision

GitHub

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