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Mixed-supervised segmentation: Confidence maximization helps knowledge distillation


Sep 24, 2021
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

* This article is a journal extension of our paper in IPMI 2021 arXiv:2012.08051 . Currently under review at Medical Image Analysis. Code available at https://github.com/josedolz/MSL-student-becomes-master 

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F-CAM: Full Resolution CAM via Guided Parametric Upscaling


Sep 15, 2021
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 23pages, under review 

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Source-Free Domain Adaptation for Image Segmentation


Aug 06, 2021
Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed

* 18 pages, 8 figures, submitted to Elsevier Medical Image Analysis 

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Mutual-Information Based Few-Shot Classification


Jun 23, 2021
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

* Journal extension of arXiv:2008.11297. PyTorch implementation of META-DATASET available at https://github.com/mboudiaf/pytorch-meta-dataset 

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Transductive Few-Shot Learning: Clustering is All You Need?


Jun 16, 2021
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed


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Adversarial Robustness via Fisher-Rao Regularization


Jun 12, 2021
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

* 12 pages, 7 figures 

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Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!


May 03, 2021
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed

* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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The hidden label-marginal biases of segmentation losses


Apr 18, 2021
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

* Code available at https://github.com/by-liu/SegLossBias 

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Teach me to segment with mixed supervision: Confident students become masters


Dec 15, 2020
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed


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AIDE: Annotation-efficient deep learning for automatic medical image segmentation


Dec 14, 2020
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang


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Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?


Dec 11, 2020
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

* 12 pages, 3 figures, 9 tables. Code available at https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation 

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Augmented Lagrangian Adversarial Attacks


Nov 24, 2020
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

* Code available at https://github.com/jeromerony/augmented_lagrangian_adversarial_attacks 

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Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty


Nov 14, 2020
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 15 pages, 5 figures, under review 

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Deep Active Learning for Joint Classification & Segmentation with Weak Annotator


Oct 10, 2020
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 20 pages, 12 figures, under review 

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Transductive Information Maximization For Few-Shot Learning


Oct 05, 2020
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed

* NeurIPS 2020. Code available at https://github.com/mboudiaf/TIM 

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Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images


Oct 01, 2020
Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed

* This paper has been accepted for publication at MICCAI 2020 

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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models


Sep 03, 2020
Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed


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Flow-Guided Attention Networks for Video-Based Person Re-Identification


Aug 09, 2020
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger


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Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper Track


Jun 29, 2020
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal

* Accepted extended abstracts can also be found at https://openreview.net/group?id=MIDL.io/2020/Conference#abstract-accept-papers 

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Laplacian Regularized Few-Shot Learning


Jun 28, 2020
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

* ICML 2020 paper 

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Learning Data Augmentation with Online Bilevel Optimization for Image Classification


Jun 25, 2020
Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli


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Source-Relaxed Domain Adaptation for Image Segmentation


May 07, 2020
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed


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Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision


Apr 14, 2020
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

* Full paper, accepted for presentation at MIDL2020 

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Semi-supervised few-shot learning for medical image segmentation


Apr 09, 2020
Abdur R Feyjie, Reza Azad, Marco Pedersoli, Claude Kauffman, Ismail Ben Ayed, Jose Dolz


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Metric learning: cross-entropy vs. pairwise losses


Mar 19, 2020
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

* 25 pages 

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On the Texture Bias for Few-Shot CNN Segmentation


Mar 09, 2020
Reza Azad, Abdur R Fayjie, Claude Kauffman, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz


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Deep Ordinal Classification with Inequality Constraints


Nov 25, 2019
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 10 pages, 3 figures, under review 

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Deep weakly-supervised learning methods for classification and localization in histology images: a survey


Sep 26, 2019
Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 37 pages, 21 figures 

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