Pinned Repositories
AI
BPT-PLR
This is the official code for Balanced Partitioning and Training Framework with Pseudo-Label Relaxed Contrastive Loss for Noisy Label Learning. It will be available when the paper is acctepted.
C2MT
This is the official code for C2MT: Cross-to-merge training with class balance strategy for learning with noisy labels
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
FedLN
Federated Learning with Noisy Labels
InstanceGM
Instance-Dependent Noisy Label Learning via Graphical Modelling (WACV 2023 Round 1)
JNPL
the implementation for the paper(Joint Negative and Positive Learning for Noisy Labels)
Learning-with-noisy-labels-revisited-A-study-using-real-world-human-annotations.
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
Noisy-Labels-in-Computer-Vision
A curated list of papers that study learning with noisy labels.
SANM
LanXiaoPang613's Repositories
LanXiaoPang613/C2MT
This is the official code for C2MT: Cross-to-merge training with class balance strategy for learning with noisy labels
LanXiaoPang613/JNPL
the implementation for the paper(Joint Negative and Positive Learning for Noisy Labels)
LanXiaoPang613/Learning-with-noisy-labels-revisited-A-study-using-real-world-human-annotations.
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
LanXiaoPang613/SANM
LanXiaoPang613/AI
LanXiaoPang613/classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
LanXiaoPang613/FedLN
Federated Learning with Noisy Labels
LanXiaoPang613/InstanceGM
Instance-Dependent Noisy Label Learning via Graphical Modelling (WACV 2023 Round 1)
LanXiaoPang613/Noisy-Labels-in-Computer-Vision
A curated list of papers that study learning with noisy labels.
LanXiaoPang613/PropMix
Code from PropMix, accepted at BMVC'21
LanXiaoPang613/RoLT
LanXiaoPang613/RRL
LanXiaoPang613/Temporal-Calibrated-Regularization
reproduce the code from the IJCNN2020 paper---Temporal Calibrated Regularization for Robust Noisy Label Learning
LanXiaoPang613/PSSCL
This is the official code for PSSCL: A Progressive Sample Selection strategy with Contrastive Loss for Learning with Noisy Labels
LanXiaoPang613/SFA
The official implementation for paper: Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
LanXiaoPang613/SOS
This is the official code for "An Improved Sample Selection Framework for Learning with Noisy Labels"
LanXiaoPang613/UCRT
This is the official code for "A Two-Stage framework with Uniform Consistency Selection and Robust Training for Noisy Label" It will be released soon after the paper is accetped.