6 citations · 17 across the 5 of their papers we have counts for
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cs.CV2023★ 6 cited
Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
George Stoica, Mihaela Breaban, Vlad Barbu
Using additional training data is known to improve the results, especially for medical image 3D segmentation where there is a lack of training material and the model needs to gener…
cs.CV2023★ 6 cited
ZipIt! Merging Models from Different Tasks without Training
George Stoica, Daniel Bolya, Jakob Bjorner +3
Typical deep visual recognition models are capable of performing the one task they were trained on. In this paper, we tackle the extremely difficult problem of combining distinct m…