DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition M Grcić, P Bevandić, S Šegvić ECCV 2022, 2022 | 63 | 2022 |
Densely connected normalizing flows M Grcić, I Grubišić, S Šegvić NeurIPS 2021, 2021 | 60 | 2021 |
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 | 45* | 2024 |
Dense open-set recognition with synthetic outliers generated by Real NVP M Grcić, P Bevandić, S Šegvić 16th International Joint Conference on Computer Vision, Imaging and Computer …, 2020 | 38 | 2020 |
On Advantages of Mask-level Recognition for Outlier-aware Segmentation M Grcić, J Šarić, S Šegvić CVPR 2023 Workshop Visual Anomaly and Novelty Detection (VAND), 2023 | 18 | 2023 |
Hybrid open-set segmentation with synthetic negative data M Grcić, S Šegvić IEEE T-PAMI, 2024 | 4 | 2024 |
Outlier detection by ensembling uncertainty with negative objectness A Delić, M Grcić, S Šegvić BMVC 2024 (Oral), 2024 | 3 | 2024 |
Fine-grained Classes and How to Find Them M Grcic, A Gadetsky, M Brbic ICML 2024, 2024 | | 2024 |