|
|
--- |
|
|
license: apache-2.0 |
|
|
--- |
|
|
# [NeurIPS 2023] Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation |
|
|
|
|
|
This is the Hugging Face model repository for the paper "Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation," accepted by NeurIPS 2023. |
|
|
📝 [Paper](https://proceedings.neurips.cc/paper_files/paper/2023/hash/708e0d691a22212e1e373dc8779cbe53-Abstract-Conference.html) |
|
|
🐙 [GitHub](https://github.com/jinpeng0528/STAR) |
|
|
|
|
|
## Installation & Data Preparation |
|
|
|
|
|
Please follow the instructions provided in our [GitHub repository](https://github.com/jinpeng0528/STAR) for installation and data preparation. |
|
|
|
|
|
## Evaluation |
|
|
|
|
|
#### PASCAL VOC 2012 |
|
|
To evaluate on the PASCAL VOC 2012 dataset, execute the following command: |
|
|
|
|
|
```shell |
|
|
python eval_voc.py --device 0 --test --resume path/to/weight.pth |
|
|
``` |
|
|
|
|
|
#### ADE20K |
|
|
To evaluate on the ADE20K dataset, execute the following command: |
|
|
|
|
|
```shell |
|
|
python eval_ade.py --device 0 --test --resume path/to/weight.pth |
|
|
``` |
|
|
|
|
|
## Citation |
|
|
|
|
|
``` |
|
|
@inproceedings{chen2023saving, |
|
|
title={Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation}, |
|
|
author={Chen, Jinpeng and Cong, Runmin and Luo, Yuxuan and Ip, Horace Ho Shing and Kwong, Sam}, |
|
|
booktitle={NeurIPS}, |
|
|
year={2023} |
|
|
} |
|
|
``` |
|
|
|
|
|
|
