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20152025
most citedSemi-supervised few-shot learning for medical image segmentation

61 citations · 97 across the 23 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.LG2019

Non-parametric Uni-modality Constraints for Deep Ordinal Classification

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey +1

We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequalit…

cs.CV2019

Adversarial Learning of General Transformations for Data Augmentation

Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed +1

Data augmentation (DA) is fundamental against overfitting in large convolutional neural networks, especially with a limited training dataset. In images, DA is usually based on heur…

cs.LG2019

Universal Adversarial Audio Perturbations

Sajjad Abdoli, Luiz G. Hafemann, Jerome Rony +3

We demonstrate the existence of universal adversarial perturbations, which can fool a family of audio classification architectures, for both targeted and untargeted attack scenario…

cs.CV2019

Constrained domain adaptation for Image segmentation

Mathilde Bateson, Jose Dolz, Hoel Kervadec +2

We propose to adapt segmentation networks with a constrained formulation, which embeds domain-invariant prior knowledge about the segmentation regions. Such knowledge may take the…

cs.CV2019

Min-max Entropy for Weakly Supervised Pointwise Localization

Soufiane Belharbi, Jérôme Rony, Jose Dolz +3

Pointwise localization allows more precise localization and accurate interpretability, compared to bounding box, in applications where objects are highly unstructured such as in me…

cs.CV2019

Exploiting Prunability for Person Re-Identification

Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine +4

Recent years have witnessed a substantial increase in the deep learning (DL)architectures proposed for visual recognition tasks like person re-identification,where individuals must…