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Found 3 papers, 2 papers with code
Distribution Network Fault Prediction Utilising Protection Relay Disturbance Recordings And Machine Learning
As society becomes increasingly reliant on electricity, the reliability requirements for electricity supply continue to rise.
DACS: Domain Adaptation via Cross-domain Mixed Sampling
In this paper we address the problem of unsupervised domain adaptation (UDA), which attempts to train on labelled data from one domain (source domain), and simultaneously learn from unlabelled data in the domain of interest (target domain).
Ranked #14 on
Domain Adaptation
on Cityscapes to ACDC
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
A key challenge is that common augmentations used in semi-supervised classification are less effective for semantic segmentation.
