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08/10/2023
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction
Handwritten Mathematical Expression Recognition (HMER) is a challenging ...
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08/07/2023
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods
In recent years, weakly supervised models have aided in mass detection u...
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08/23/2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels
Label noise is common in large real-world datasets, and its presence har...
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10/22/2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
The most competitive noisy label learning methods rely on an unsupervise...
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03/21/2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
In this paper, we address the problem of training deep neural networks i...
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03/06/2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Deep neural network models are robust to a limited amount of label noise...
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03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
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03/05/2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
The training of deep learning models generally requires a large amount o...
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12/05/2020
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
The absence of food monitoring has contributed significantly to the incr...
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12/05/2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Noisy Labels are commonly present in data sets automatically collected f...
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11/11/2020