Jieun Jeong

Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification

Due to the expensive costs of collecting labels in multi-label classification datasets, partially annotated multi-label classification has become an emerging field in computer vision. One baseline approach to this task is to assume unobserved labels as negative labels, but this assumption induces la…