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STAR
jinpeng0528/STAR
STAR is a machine learning model from jinpeng0528. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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. 📝…
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025
- SHA
- c7689f23
Model card
From the Hugging Face model README
[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}
}
- License
- apache-2.0
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025