14 citations · 17 across the 5 of their papers we have counts for
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cs.CV2020★ 1 cited
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk +1
We present a novel region based active learning method for semantic image segmentation, called MetaBox+. For acquisition, we train a meta regression model to estimate the segment-w…
cs.CV2020★ 2 cited
On the Robustness of Active Learning
Lukas Hahn, Lutz Roese-Koerner, Peet Cremer +3
Active Learning is concerned with the question of how to identify the most useful samples for a Machine Learning algorithm to be trained with. When applied correctly, it can be a v…