O2U-Net
Label noise detector
An approach to detect noise in labels used with deep neural networks during training
paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
77 stars
4 watching
12 forks
Language: Python
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 chenpf1025/idn | Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels | 35 |
 hongxin001/odnl | An implementation of a method to improve model robustness against inherent label noise in machine learning models | 19 |
 jxr326/swinmcnet | A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images | 16 |
 udibr/noisy_labels | This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors. | 118 |
| chenpf1025/noisy_label_understanding_utilizing | An investigation into deep learning models trained with noisy labels and methods to improve their accuracy. | 90 |
 uds-lsv/multi-tasking_learning_with_unreliable_labels | An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation. | 8 |
 pxiangwu/topofilter | Develops and evaluates machine learning algorithms to mitigate the effects of noisy labels in supervised learning. | 30 |
 gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
 hekun-nvidia/py-darknet-yolo | A Python interface to YOLO object detection software using Darknet | 27 |
 nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
 ryo-ito/noisy-labels-neural-network | An implementation of a neural network training method using noisy labels | 5 |
 delchiaro/training-cnn-noisy-labels-keras | An implementation of a deep learning training method for handling noisy labels in convolutional neural networks using the VGG-16 network architecture. | 6 |
 cysu/noisy_label | A repository providing code and scripts for training image classification models on noisy labeled data | 116 |
 kthyeon/fine_official | Implementation of a method to improve machine learning models trained with noisy labels by selecting and collaborating with high-quality samples | 39 |
 mmazeika/glc | A method to train deep learning classifiers on noisy labels using a small set of trusted data | 86 |