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GitHub / 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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djene-mengistu%2FUAPS
Stars: 8
Forks: 1
Open Issues: 1
License: mit
Language: Python
Repo Size: 4.78 MB
Dependencies:
0
Created: about 1 year ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago
Topics: consistency-regularization, defect-detection, defect-segmentation, machine-learning, machine-vision, pseudo-labeling, semi-supervised-learning, uncertainty-analysis, uncertainty-estimation
Files
No dependencies found