pseudo-labeling
There are 47 repositories under pseudo-labeling topic.
tim-learn/SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
open-mmlab/OpenUnReID
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
ybabakhin/kaggle_salt_bes_phalanx
Winning solution for the Kaggle TGS Salt Identification Challenge.
SeuTao/TGS-Salt-Identification
TGS Salt Identification
DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
dataqa/nlp-labelling
Labelling platform for text using weak supervision.
nayeemrizve/ups
"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)
yueyu1030/COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
fcjian/PromptDet
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
sidgan/ETCI-2021-Competition-on-Flood-Detection
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
zchoi/S2-Transformer
[IJCAI 2022] Official Pytorch code for paper “S2 Transformer for Image Captioning”
som-shahlab/trove
Weakly supervised medical named entity classification
hellowangqian/domain-adaptation-capls
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
majidseydgar/Res-CP
Semi-Supervised Hyperspectral Image Classification
Gorilla-Lab-SCUT/TTAC
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
nayeemrizve/TRSSL
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
nayeemrizve/OpenLDN
"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)
Senyh/UCMT
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Ikhyeon-Cho/urban-terrain-dataset
[RA-L, 2024] The dataset for the paper: Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach
yiren-jian/LabelHalluc
[AAAI 2022] Label Hallucination for Few-Shot Classification
biparnakroy/pseudoLabelGeneratorForYOLO
Creating datasets in YOLO format using pretrained YOLO model in Darknet framework which could be used to train the model further
amzn/confident-sinkhorn-allocation
Pseudo-labeling for tabular data
ccc870206/3D-PL
[ECCV2022] 3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
AlexYangLi/iswc2020_prodcls
ISWC2020 Semantic Web Challenge - Product Classification Top1 Solution
ritaranx/NeST
[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.
DawoodChanti/IFSS-Net
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound
kaylode/ivos
Mask Propagation and Active Learning in Medical CT Image Segmentation
rhythmcao/slu-dual-learning
Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2020.
djene-mengistu/UAPS
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
claudiotancredi/Real-time-domain-adaptation-in-semantic-segmentation
"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.
matinmoezzi/ups_conformal_classification
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal Prediction
djene-mengistu/simEps
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
kaiyoo/Precondition-and-Effect-Reasoning-for-Action-Recognition
Research paper-Enhancing action recognition with precondition and effect
hnuzhy/SemiUHPE
Code for my paper "Semi-Supervised Unconstrained Head Pose Estimation in the Wild"
mailcorahul/auto_labeler
auto_labeler - An all-in-one library to automatically label vision data
akanametov/MaskCLIP
Unofficial Pytorch implementation of MaskCLIP