[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
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Updated
Jun 29, 2020 - Python
[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Implementation of FixMatch in PyTorch and experimentations
90%+ with 40 labels. please see the readme for details.
PyTorch implementation of consistency regularization methods for semi-supervised learning
Final project of the KTH DD2412 - Deep Learning, Advanced course.
pytorch implementation of FixMatch paper as a fastai callback
Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
Implementation of FixMatch using pytorch in Google Colab
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECCV2022.
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
SSL Methods integrated into the official implementation of the ECCV"22 Paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
Unofficial Pytorch Implementation of 'FixMatch- Simplifying Semi-Supervised Learning with Consistency and Confidence'
Study of a powerful Semi-Supervised Learning model, FixMatch, trained on the dataset CIFAR-10
Supplementary material and code for "Conformal Credal Self-Supervised Learning" as published at COPA 2021.
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Classify Your Precious Image Using Few Labeled Samples based on FixMatch
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