AdvChain augments data with dynamic data augmentation, generating randomly chained photo-metric and geometric transformations to resemble realistic yet ...
Aug 7, 2021 · To address this challenge, we propose AdvChain, a generic adversarial data augmentation framework, aiming at improving both the diversity and ...
Aug 28, 2022 · In this work, we introduce a generic adversarial data augmentation framework (AdvChain), aiming at improving both the diversity and.
Jun 23, 2020 · In this work, we propose an adversarial data augmentation method for training neural networks for medical image segmentation. Instead of ...
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A Morphology-Mixup Stylized data generation (MMS) method is proposed, which expands source data from a new morphological perspective, guided by the ...
AdvChain is a differentiable data augmentation library, which supports to augment 2D/3D image tensors with optimized data augmentation parameters. It takes both ...
AdvChain augments data with dynamic data augmentation, generating randomly chained photo-metric and geometric transformations to resemble realistic yet ...
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Aug 7, 2021 · The data augmentation model utilizes a set of photometric and geometric image transformations and chains them to simulate realistic complex ...
Using cardiac MR imaging we show that such an approach can improve the generalization ability and robustness of models as well as provide significant ...
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Duration: 9:44
Posted: Jul 17, 2021
Posted: Jul 17, 2021
Missing: Enhancing | Show results with:Enhancing