There are 1 repository under pseudo-labeling topic.
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
Winning solution for the Kaggle TGS Salt Identification Challenge.
A full pipeline AutoML tool for tabular data
Labelling platform for text using weak supervision.
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
[IJCAI 2022] Official Pytorch code for paper “S2 Transformer for Image Captioning”
Weakly supervised medical named entity classification
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Semi-Supervised Hyperspectral Image Classification
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)
Creating datasets in YOLO format using pretrained YOLO model in Darknet framework which could be used to train the model further
[AAAI 2022] Label Hallucination for Few-Shot Classification
Pseudo-labeling for tabular data
ISWC2020 Semantic Web Challenge - Product Classification Top1 Solution
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound
Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2020.
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal Prediction
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
Research paper-Enhancing action recognition with precondition and effect
auto_labeler - An all-in-one library to automatically label vision data
Unofficial implementation of Adversarial Learning for Semi-Supervised Semantic Segmentation with tensorflow/Keras
[Unofficial] Implementation of Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings (ACL Workshop 2021)
Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.