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07/22/2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Early detection of colorectal polyps is of utmost importance for their t...
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07/20/2023
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
Deep learning has shown excellent performance in analysing medical image...
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10/10/2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Designing robust algorithms capable of training accurate neural networks...
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09/20/2022
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
Methods that are resilient to artifacts in the cardiac magnetic resonanc...
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07/04/2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets
Using search engines for web image retrieval is a tempting alternative t...
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06/09/2022
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video
Cow lameness is a severe condition that affects the life cycle and life ...
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10/27/2021
How Important is Importance Sampling for Deep Budgeted Training?
Long iterative training processes for Deep Neural Networks (DNNs) are co...
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10/26/2021
Addressing out-of-distribution label noise in webly-labelled data
A recurring focus of the deep learning community is towards reducing the...
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12/08/2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Deep neural networks trained with standard cross-entropy loss memorize n...
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07/23/2020
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
Reducing the amount of labels required to trainconvolutional neural netw...
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12/18/2019
Towards Robust Learning with Different Label Noise Distributions
Noisy labels are an unavoidable consequence of automatic image labeling ...
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08/08/2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Semi-supervised learning, i.e. jointly learning from labeled an unlabele...
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04/25/2019
On guiding video object segmentation
This paper presents a novel approach for segmenting moving objects in un...
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04/25/2019