wnn2000

wnn2000's Stars

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k9913352

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.2k3886391

• MLNLP-World/Paper-Picture-Writing-Code

  MLNLP: Paper Picture Writing Code

  Language:TeX1.1k181116

• DengPingFan/PraNet

  PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

  Language:Python462755123

• skinaze/HUSTPaperTemp

  华中科技大学本科毕业论文LaTeX模板 2017

  Language:TeX30881950

• HiLab-git/WSL4MIS

  Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

  Language:Python20851834

• owkin/FLamby

  Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

  Language:Python204911624

• lxcnju/FedRepo

  Language:Python1752835

• KaihuaTang/Generalized-Long-Tailed-Benchmarks.pytorch

  [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

  Language:Jupyter Notebook118228

• conditionWang/FCIL

  This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

  Language:Python1025929

• miracleyoo/HUST-Grad-Paper-Word-Template

  本项目为华科（华中科技大学）本科生毕业论文的进阶优化版Word模板。它源于官方但高于官方，由于官方的Word模板难以使用且问题多多，自动化程度低，故有本项目。本项目为在页码、封面、分级标题、数学公式、图表题注、交叉引用、参考文献引用等方面做出了优化后的Word模板。

  86114

• yxymessi/H2E-Framework

  [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution

  Language:Python84551

• Hzzone/TCL

  Twin Contrastive Learning with Noisy Labels (CVPR 2023)

  Language:Python684510

• srinidhiPY/SSL_CR_Histo

  Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

  Language:Python625821

• Sprinter1999/FedLSR

  Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization

  Language:Jupyter Notebook48143

• 1998v7/Self-Filtering

  Pytorch implementation for ECCV 2022 Paper “Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization”

  Language:Python44104

• Xu-Jingyi/FedCorr

  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction

  Language:Jupyter Notebook353413

• MIRACLE-Center/Partially-supervised-multi-organ-segmentation

  code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation

  Language:Python26132

• Bingmang/gpu-watcher

  一个GPU占用信息实时同步的小工具，并提供看板。

  Language:Python22207

• michaelofsbu/SpatialCorrection

  Learning to Segment from Noisy Annotations: A Spatial Correction Approach

  Language:Python16122

• uitrbn/TSCSI_IDN

  Language:Python13170

• CityU-AIM-Group/FedDM

  [TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting

  Language:Python11202

• hyhmia/DisTrans

  Language:Python510