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BalConpas
jinpeng0528/BalConpas
BalConpas is a image segmentation model from jinpeng0528. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
This is the Hugging Face model repository for the paper "Strike a Balance in Continual Panoptic Segmentation", accepted by ECCV 2024. 📝 Paper 🐙 GitHub
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Public
Updated Mar 14, 2025
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Mar 13, 2025
- Updated
- Mar 14, 2025
- SHA
- e7930037
Model card
From the Hugging Face model README
[ECCV 2024] Strike a Balance in Continual Panoptic Segmentation
This is the Hugging Face model repository for the paper "Strike a Balance in Continual Panoptic Segmentation", accepted by ECCV 2024. 📝 Paper 🐙 GitHub
Installation & Data Preparation
Please follow the instructions provided in our GitHub repository for installation and data preparation.
Evaluation
To evaluate the trained model, add the arguments --eval-only --resume to the command line. For example:
python train_continual.py --eval-only --resume --config-file configs/ade20k/panoptic-segmentation/100-10.yaml \
CONT.TASK 6 OUTPUT_DIR ./output/ps/100-10/step6
Citation
@inproceedings{chen2024strike,
title={Strike a Balance in Continual Panoptic Segmentation},
author={Chen, Jinpeng and Cong, Runmin and Luo, Yuxuan and Ip, Horace Ho Shing and Kwong, Sam},
booktitle={ECCV},
year={2024}
}
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Created
- Mar 13, 2025
- Updated
- Mar 14, 2025