Related references
Note: Only part of the references are listed.Addressing out-of-distribution label noise in webly-labelled data
Paul Albert et al.
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022) (2022)
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
Yongchan Kwon et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2020)
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
Davood Karimi et al.
MEDICAL IMAGE ANALYSIS (2020)
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
Francesco Ponzio et al.
ELECTRONICS (2019)
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
Lukasz Raczkowski et al.
SCIENTIFIC REPORTS (2019)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Atoms of recognition in human and computer vision
Shimon Ullman et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Coupled Kernel Embedding for Low-Resolution Face Image Recognition
Chuan-Xian Ren et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)
Very Low Resolution Face Recognition Problem
Wilman W. W. Zou et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)
Convexity, classification, and risk bounds
PL Bartlett et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
Share Paper
