Zobrazeno 1 - 2
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pro vyhledávání: '"Malik Boudiaf"'
Training state-of-the-art vision models has become prohibitively expensive for researchers and practitioners. For the sake of accessibility and resource reuse, it is important to focus on adapting these models to a variety of downstream scenarios. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc8ab6f30b3446720cccee9d161e3d7
Autor:
Ismail Ben Ayed, Malik Boudiaf, Ziko Imtiaz Masud, Hoel Kervadec, Pablo Piantanida, Jose Dolz
Publikováno v:
CVPR
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We show that the way inference is performed in few-shot segmentation tasks has a substantial effect on performances -- an aspect often overlooked in the literature in favor of the meta-learning paradigm. We introduce a transductive inference for a gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee851c248afb91657d14820dea78d69
https://doi.org/10.1109/cvpr46437.2021.01376
https://doi.org/10.1109/cvpr46437.2021.01376
