While efforts have been made to explain computer vision models, these approaches often fall short of providing direct and human-understandable explanations.

In recent years, a large number of algorithms for label integration and noise correction have been proposed to infer the unknown true labels of instances in crowdsourcing.

TreeV AE hierarchically divides samples according to their intrinsic characteristics, shedding light on hidden structures in the data.