4 citations · 5 across the 3 of their papers we have counts for
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cs.CV2022★ 4 cited
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
Matej Grcić, Petra Bevandić, Siniša Šegvić
Anomaly detection can be conceived either through generative modelling of regular training data or by discriminating with respect to negative training data. These two approaches ex…
cs.CV2022★ 1 cited
Automatic universal taxonomies for multi-domain semantic segmentation
Petra Bevandić, Siniša Šegvić
Training semantic segmentation models on multiple datasets has sparked a lot of recent interest in the computer vision community. This interest has been motivated by expensive anno…