2024
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
ECCV 2024poster
"Semi-supervised learning is a learning method that uses both labeled and unlabeled samples to improve the performance of the model while reducing labeling costs. When there were tens to hundreds of labeled samples, semi-supervised learning methods showed good performance, but most of them showed po…