Densely connected normalizing flows M Grcić, I Grubišić, S Šegvić Advances in Neural Information Processing Systems 34, 23968-23982, 2021 | 60 | 2021 |
Multi-domain semantic segmentation with overlapping labels P Bevandić, M Oršić, I Grubišić, J Šarić, S Šegvić Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 15 | 2022 |
Multidomain semantic segmentation on datasets with overlapping classes P Bevandic, M Oršic, I Grubišic, J Šaric, S Šegvic arXiv preprint arXiv:2009.01636, 2021 | 9* | 2021 |
Revisiting consistency for semi-supervised semantic segmentation I Grubišić, M Oršić, S Šegvić Sensors 23 (2), 940, 2023 | 7 | 2023 |
A baseline for semi-supervised learning of efficient semantic segmentation models I Grubišić, M Oršić, S Šegvić 2021 17th International Conference on Machine Vision and Applications (MVA), 1-5, 2021 | 6 | 2021 |
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation P Bevandić, M Oršić, J Šarić, I Grubišić, S Šegvić International journal of computer vision, 1-23, 2024 | 4 | 2024 |
Multi-domain semantic segmentation with overlapping labels Supplementary material P Bevandic, M Oršic, I Grubišic, J Šaric, S Šegvic | | |