On the Road to Online Adaptation for Semantic Image Segmentation
Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
News
- May 2022: Pre-trained models and Code released.
- March 2022: Accepted to CVPR 2022, camera ready available on arXiv.
Summary
Our core contribution is introducing the OASIS benchmark, to advance research in Online Adaptation for Semantic Image Segmentation.
BibTeX
@InProceedings{volpi2022cvpr, author = {Volpi, Riccardo and de Jorge, Pau and Larlus, Diane and Csurka, Gabriela}, title = {On the Road to Online Adaptation for Semantic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022} }
This work is part of the Lifelong representation learning chair of the MIAI research institute.