In defense of pre-trained imagenet architectures for real-time semantic segmentation of road-driving images M Orsic, I Kreso, P Bevandic, S Segvic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 393 | 2019 |
Simultaneous semantic segmentation and outlier detection in presence of domain shift P Bevandić, I Krešo, M Oršić, S Šegvić Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 80 | 2019 |
Discriminative out-of-distribution detection for semantic segmentation P Bevandić, I Krešo, M Oršić, S Šegvić arXiv preprint arXiv:1808.07703, 2018 | 74 | 2018 |
Densehybrid: Hybrid anomaly detection for dense open-set recognition M Grcić, P Bevandić, S Šegvić European Conference on Computer Vision, 500-517, 2022 | 45 | 2022 |
Dense open-set recognition based on training with noisy negative images P Bevandić, I Krešo, M Oršić, S Šegvić Image and vision computing 124, 104490, 2022 | 39* | 2022 |
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data M Grcić, P Bevandić, Z Kalafatić, S Šegvić Sensors 24 (4), 1248, 2024 | 37* | 2024 |
Dense open-set recognition with synthetic outliers generated by real nvp M Grcić, P Bevandić, S Šegvić arXiv preprint arXiv:2011.11094, 2020 | 32 | 2020 |
Robust semantic segmentation with ladder-densenet models I Krešo, M Oršić, P Bevandić, S Šegvić arXiv preprint arXiv:1806.03465, 2018 | 17 | 2018 |
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 | 16* | 2022 |
Traffic scene classification on a representation budget I Sikirić, K Brkić, P Bevandić, I Krešo, J Krapac, S Šegvić Ieee transactions on intelligent transportation systems 21 (1), 336-345, 2019 | 15 | 2019 |
Multi-domain semantic segmentation with pyramidal fusion P Bevandić, M Oršić, I Grubišić, J Šarić, S Šegvić arXiv preprint arXiv:2009.01636, 2020 | 4 | 2020 |
Automatic universal taxonomies for multi-domain semantic segmentation P Bevandić, S Šegvić British Machine Vision Conference 2022, 2022 | 2 | 2022 |
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 | | 2024 |
Open-set segmentation of images by means of negative examples P Bevandić University of Zagreb. Faculty of Electrical Engineering and Computing, 2023 | | 2023 |
Convolutional Models for Segmentation and Localization I Krešo, P Bevandić, M Oršić, S Šegvić Engineering power: bulletin of the Croatian Academy of Engineering 13 (2.), 8-12, 2018 | | 2018 |
Multi-domain semantic segmentation with overlapping labels Supplementary material P Bevandic, M Oršic, I Grubišic, J Šaric, S Šegvic | | |