2023
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
CVPR 2023poster
Semi-supervised learning (SSL) essentially pursues class boundary exploration with less dependence on human annotations. Although typical attempts focus on ameliorating the inevitable error-prone pseudo-labeling, we think differently and resort to exhausting informative semantics from multiple proba…