**Official implementation of the ICCV 2025 Findings Poster & Oral: **
"DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-Supervised Panoptic Segmentation"
For detailed setup instructions -- including installation, dataset preparation, checkpoints, training, and evaluation -- please see:
readmes/GETTING_STARTED.md
- Upload COCO-Objects dataset generation script and panoptic labels
- Upload SAM-generated pseudolabels and add instructions to generate them
This project builds upon several excellent open-source frameworks.
We thank the respective authors for making their code publicly available:
If you use DEARLi in your research, please cite the following:
@article{martinovic2025dearli,
title={DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-Supervised Panoptic Segmentation},
author={Martinović, Ivan and Šarić, Josip and Oršić, Marin and Kristan, Matej and Šegvić, Siniša},
journal={arXiv preprint arXiv:2507.10118},
year={2025}
}