6 citations · 18 across the 6 of their papers we have counts for
3 papers · 1 filter
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
Arvi Jonnarth, Yushan Zhang, Michael Felsberg
Image-level weakly-supervised semantic segmentation (WSSS) reduces the usually vast data annotation cost by surrogate segmentation masks during training. The typical approach invol…
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg +1
Many real-world recognition problems are characterized by long-tailed label distributions. These distributions make representation learning highly challenging due to limited genera…
Importance Sampling CAMs for Weakly-Supervised Segmentation
Arvi Jonnarth, Michael Felsberg
Classification networks can be used to localize and segment objects in images by means of class activation maps (CAMs). However, without pixel-level annotations, classification net…