metadata
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 🐙 GitHub
Installation & Data Preparation
Please follow the instructions provided in our GitHub repository for installation and data preparation.
Evaluation
PASCAL VOC 2012
To evaluate on the PASCAL VOC 2012 dataset, execute the following command:
python eval_voc.py --device 0 --test --resume path/to/weight.pth
ADE20K
To evaluate on the ADE20K dataset, execute the following command:
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}
}