[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. ๐Ÿ“ Paper ๐Ÿ™ 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}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The HF Inference API does not support image-segmentation models for pytorch library.