| 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 | 204 | 2019 |
| Discriminative out-of-distribution detection for semantic segmentation P Bevandić, I Krešo, M Oršić, S Šegvić arXiv preprint arXiv:1808.07703, 2018 | 36 | 2018 |
| Simultaneous semantic segmentation and outlier detection in presence of domain shift P Bevandić, I Krešo, M Oršić, S Šegvić German conference on pattern recognition, 33-47, 2019 | 33 | 2019 |
| 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 | 11 | 2019 |
| Robust semantic segmentation with ladder-densenet models I Krešo, M Oršić, P Bevandić, S Šegvić arXiv preprint arXiv:1806.03465, 2018 | 9 | 2018 |
| Dense open-set recognition based on training with noisy negative images P Bevandić, I Krešo, M Oršić, S Šegvić Image and Vision Computing, 104490, 2022 | 7 | 2022 |
| Dense open-set recognition with synthetic outliers generated by Real NVP M Grcić, P Bevandić, S Šegvić arXiv preprint arXiv:2011.11094, 2020 | 5 | 2020 |
| 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 | 4* | 2022 |
| Dense anomaly detection by robust learning on synthetic negative data M Grcić, P Bevandić, S Šegvić arXiv preprint arXiv:2112.12833, 2021 | 4 | 2021 |
| Multi-domain semantic segmentation with pyramidal fusion P Bevandić, M Oršić, I Grubišić, J Šarić, S Šegvić arXiv preprint arXiv:2009.01636, 2020 | 1 | 2020 |
| Automatic universal taxonomies for multi-domain semantic segmentation P Bevandić, S Šegvić arXiv preprint arXiv:2207.08445, 2022 | | 2022 |
| DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition M Grcić, P Bevandić, S Šegvić arXiv preprint arXiv:2207.02606, 2022 | | 2022 |
| In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images IK Marin Oršić, P Bevandić, S Šegvić | | 2019 |
| 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 Download PDF Open Website P Bevandić, M Oršić, I Grubišić, J Šarić, S Šegvić | | |
| Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Download PDF Open Website P Bevandić, I Krešo, M Oršić, S Šegvić | | |
| Multi-domain semantic segmentation with overlapping labels Supplementary material P Bevandic, M Oršic, I Grubišic, J Šaric, S Šegvic | | |
| In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images Download PDF Open Website IK Marin Oršić, P Bevandić, S Šegvić | | |
Siniša ŠegvićUniversity of Zagreb, Faculty of Electrical Engineering and ComputingПотвърден имейл адрес: fer.hr
