[NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
mean-teacher 开源项目推荐(20 个)
mean-teacher 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 20
GitHub 共 20 个仓库,已全部展示Reproduce some methods in semi-supervised papers.
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
Mean Teacher-based Cross-Domain Activity Recognition using WiFi Signals, IoTJ 2023
Implementation of semi-supervised learning: UDA, MixMatch, Mean-teacher, focusing on NLP, powered by Pytorch
PyTorch-driven model for efficient vascular segmentation and classification using limited data. Combines semi-supervised and supervised techniques, setting a new standard in resource-efficient auto-segmentation.
Semi-supervised nuclei segmentation for melanoma histopathology — Mean Teacher, GAN, autoencoder, and pseudo-labeling vs. supervised baselines under label scarcity.
Frequency-aware Contrastive Cross-domain Adaptation Network for Unsupervised Domain Adaptation of OCT Images
Experiments on some existing Re-ID methods on a different dataset with qualitative and quantitative analyses of their performance along with proposals to improve the results further.
Official codebase for my Year 3 dissertation on 3D pulmonary nodule segmentation using LUNA16 dataset. Compares a supervised 3D U-Net baseline vs. semi-supervised Mean Teacher architecture (peak validation Dice: 0.6617, with a DSC of 81.77%). Includes model definitions, metadata, and key NIfTI qualitative visual result files.
Semi supervised learning for semantic image segmentation
该项目在 GitHub 上没有填写描述
This repository contains the complete implementation of a semi-supervised instance segmentation pipeline using YOLOv11. The project explores FixMatch, MixMatch, and Mean Teacher methods and evaluates their effectiveness using limited labeled data and abundant unlabeled data as part of the CSE 438 Final Project.
Code for "TriGAN-SiaMT: A Triple-Segmentor Adversarial Network with Bounding Box Priors for Semi-Supervised Brain Lesion Segmentation"
Semi-supervised facies segmentation of rock-core photos with SegFormer-B4 + Mean Teacher. #17 on ThinkOnward’s Core Values challenge.
Graph Neural Networks for molecular property prediction on QM9, with semi-supervised training (Mean Teacher & N-CPS) in PyTorch Geometric
The Mean Teacher Model is a popular approach for semi-supervised learning, where a student model learns from a more stable teacher model that updates through Exponential Moving Average (EMA). It helps improve consistency between predictions and provides a smoother training signal.
SSBC 2026 sclera segmentation: SAM-LoRA adaptation and DINOv2 Mean Teacher ensembles, with research code, official results, and reproducibility notes.
Uncertainty-decoupled prototype consistency for semi-supervised breast ultrasound segmentation (master's thesis, Part I)
Dataset059-backed correctness audit and fixes for Villa Mean Teacher trainers
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/mean-teacher。
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- 当前 20 个项目累计 196 Star,覆盖 2 种主要语言,数据更新于 2026-11-12。
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