6 citations · 6 across the 3 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We investigate the potential of invariant and equivariant semi-supervised learning for addressing the challenges of training multi-task models on partially labeled datasets with di…
cs.CV2022
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling and consistency regularization via…