527 citations · 1.1k across the 15 of their papers we have counts for
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cs.CV2021★ 2 cited
Source-Free Domain Adaptation for Image Segmentation
Mathilde Bateson, Hoel Kervadec, Jose Dolz +2
Domain adaptation (DA) has drawn high interest for its capacity to adapt a model trained on labeled source data to perform well on unlabeled or weakly labeled target data from a di…
cs.CV2021★ 1 cited
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon +2
Standard losses for training deep segmentation networks could be seen as individual classifications of pixels, instead of supervising the global shape of the predicted segmentation…