https://github.com/grypesc/camp

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery - ECCV 2024 paper
https://github.com/grypesc/camp

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Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery - ECCV 2024 paper

• Host: GitHub
• URL: https://github.com/grypesc/camp
• Owner: grypesc
• Created: 2024-07-11T10:36:53.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-13T10:58:22.000Z (about 2 months ago)
• Last Synced: 2024-09-14T00:37:22.446Z (about 2 months ago)
• Language: Python
• Size: 57.6 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

This repository contains code for ECCV 2024 paper: https://arxiv.org/abs/2308.12112  

Introduction video: https://www.youtube.com/watch?v=NfgT1qpOb4U

### Setup:

```bash

pip install requirements.txt

```

### To run pretrained ViT download a model from https://github.com/facebookresearch/dino: 

```bash

mkdir pretrained && cd pretrained

wget https://dl.fbaipublicfiles.com/dino/dino_deitsmall16_pretrain/dino_deitsmall16_pretrain.pth

```

### Download datasets

### CUB200

```bash

cd data

wget https://data.caltech.edu/records/65de6-vp158/files/CUB_200_2011.tgz?download=1

tar zxvf 'CUB_200_2011.tgz?download=1'

```

### DomainNet

```bash

wget http://csr.bu.edu/ftp/visda/2019/multi-source/groundtruth/clipart.zip &&

wget http://csr.bu.edu/ftp/visda/2019/multi-source/infograph.zip &&

wget http://csr.bu.edu/ftp/visda/2019/multi-source/groundtruth/painting.zip &&

wget http://csr.bu.edu/ftp/visda/2019/multi-source/quickdraw.zip &&

wget http://csr.bu.edu/ftp/visda/2019/multi-source/real.zip &&

wget http://csr.bu.edu/ftp/visda/2019/multi-source/sketch.zip

```

### Run CAMP method on 5 datasets:

```bash

bash scripts/camp.sh

```

### Run GCD method on 5 datasets:

```bash

bash scripts/gcd.sh

```

### Run GCD+FD method on 5 datasets:

```bash

bash scripts/gcd_fd.sh

```

### Run GCD+EWC method on 5 datasets:

```bash

bash scripts/gcd_ewc.sh

```

### Run Proxy Anchors method on 5 datasets:

```bash

bash scripts/proxy_anchors.sh

```

If you find this code or paper useful we will appreciate if you cite us:

```commandline

@inproceedings{rypesc2024category,

    title   = {Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery},

    author={Rype{\'s}{\'c}, Grzegorz and Marczak, Daniel and Cygert, Sebastian  and Trzci{\'n}ski, Tomasz and Twardowski, Bart{\l}omiej},

    booktitle = {European Conference on Computer Vision (ECCV)},

    year    = {2024}

}

```