Specifically, we propose a semi-supervised framework that employs image-to-image translation between weak labels (eg, presence vs. absence of cancer), in ...
We validate the proposed method on synthetic tasks of varying difficulty as well as on the real task of brain tumor segmentation in magnetic resonance images, ...
Boosting segmentation with weak supervision from image-to-image translation.pdf · Latest commit · History · Breadcrumbs.
Boosting segmentation with weak supervision from image-to-image translation. Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani ...
Sep 18, 2019 · Our experiments show that an extremely weak supervised I2I translation solution using only one paired training sample can achieve a quantitative ...
Sep 2, 2023 · We propose a novel single-stage WSIS method that utilizes a siamese network with contrastive learning to improve the quality of class activation maps (CAMs)
Missing: weak translation.
Apr 21, 2019 · Tool for segmenting images with weak supervision · Image Analysis ... New YAPiC Release: A Simple Command Line Tool For Deep Learning Based Image ...
Missing: Boosting translation.
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A new semi-supervised training method with a weak supervision component is proposed. · Proposed semi-supervised method tested with different encoder–decoder ...
Missing: Boosting | Show results with:Boosting
Apr 2, 2019 · We propose the use of weak labels about whether an image presents tumor or whether it is absent to extend training over images that lack these ...
Moreover, to eliminate permutation equivariance and maintain translation ... We overcome this poor localization property of deep networks by combining ...