117 citations · 177 across the 11 of their papers we have counts for
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cs.CV2020★ 5 cited
Measuring the Biases and Effectiveness of Content-Style Disentanglement
Xiao Liu, Spyridon Thermos, Gabriele Valvano +3
A recent spate of state-of-the-art semi- and un-supervised solutions disentangle and encode image "content" into a spatial tensor and image appearance or "style" into a vector, to…
cs.CV2020★ 117 cited
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Large, fine-grained image segmentation datasets, annotated at pixel-level, are difficult to obtain, particularly in medical imaging, where annotations also require expert knowledge…