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)
[AAAI 2022] Label Hallucination for Few-Shot Classification
Creating datasets in YOLO format using pretrained YOLO model in Darknet framework which could be used to train the model further
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 Pytorch implementation of MaskCLIP
[Unofficial] Implementation of Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings (ACL Workshop 2021)