11 citations · 29 across the 5 of their papers we have counts for
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cs.CV2021
Multi-domain semantic segmentation with overlapping labels
Petra Bevandić, Marin Oršić, Ivan Grubišić +2
Deep supervised models have an unprecedented capacity to absorb large quantities of training data. Hence, training on many datasets becomes a method of choice towards graceful degr…
cs.CV2021★ 7 cited
Revisiting consistency for semi-supervised semantic segmentation
Ivan Grubišić, Marin Oršić, Siniša Šegvić
Semi-supervised learning an attractive technique in practical deployments of deep models since it relaxes the dependence on labeled data. It is especially important in the scope of…