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Petra Bevandic
Petra Bevandic
Faculty of Electrical Engineering and Computing
Verified email at fer.hr
Title
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Cited by
Year
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
3792019
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
782019
Discriminative out-of-distribution detection for semantic segmentation
P Bevandić, I Krešo, M Oršić, S Šegvić
arXiv preprint arXiv:1808.07703, 2018
732018
Densehybrid: Hybrid anomaly detection for dense open-set recognition
M Grcić, P Bevandić, S Šegvić
European Conference on Computer Vision, 500-517, 2022
442022
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
38*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
322020
Robust semantic segmentation with ladder-densenet models
I Krešo, M Oršić, P Bevandić, S Šegvić
arXiv preprint arXiv:1806.03465, 2018
172018
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
152019
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
14*2022
Multi-domain semantic segmentation with pyramidal fusion
P Bevandić, M Oršić, I Grubišić, J Šarić, S Šegvić
arXiv preprint arXiv:2009.01636, 2020
42020
Automatic universal taxonomies for multi-domain semantic segmentation
P Bevandić, S Šegvić
British Machine Vision Conference 2022, 2022
22022
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
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