pseudo-labeling
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code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
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Feb 22, 2024 - Python
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
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Jun 14, 2021 - Python
Winning solution for the Kaggle TGS Salt Identification Challenge.
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Aug 8, 2019 - Python
A full pipeline AutoML tool for tabular data
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Jun 23, 2024 - Python
Labelling platform for text using weak supervision.
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Jun 24, 2022 - JavaScript
"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)
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May 17, 2023 - Python
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
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Aug 17, 2022 - Python
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
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Jun 19, 2022 - Jupyter Notebook
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
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Sep 18, 2022 - Python
[IJCAI 2022] Official Pytorch code for paper “S2 Transformer for Image Captioning”
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Aug 14, 2024 - Python
Weakly supervised medical named entity classification
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Dec 23, 2022 - Python
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
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Jan 29, 2022 - MATLAB
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
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May 14, 2024 - Python
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
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Oct 6, 2023 - Python
Semi-Supervised Hyperspectral Image Classification
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Aug 11, 2022 - Python
The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
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Oct 24, 2024 - CMake
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
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Mar 14, 2023 - Python
"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)
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Mar 14, 2023 - Python
[ECCV2024] Mitigating Background Shift in Class-Incremental Semantic Segmentation
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Aug 16, 2024 - Python
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