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MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).

A PyTorch implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

[ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework for continual semi-supervised learning".

Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976

pytorch implementation of the paper, points as queries: weakly semi-supervised object detection by points

This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).

PyTorch semi-supervised clustering with Convolutional Autoencoders

A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.

This is the official PyTorch implementation of Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint, AAAI 2023

:hospital: Python (Pytorch) implement of Paper: [Semi-supervised Segmentation of Coronary DSA using Mixed Networks and Multi-strategies](https://www.sciencedirect.com/science/article/pii/S001048252201201X).