Is one annotation enough?-a data-centric image classification benchmark for noisy and ambiguous label estimation
High-quality data is necessary for modern machine learning. However, the acquisition of
such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of …
such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of …
Transferring annotator-and instance-dependent transition matrix for learning from crowds
S Li, X ** Noisy Annotations in Object Detection with Repeated Labels
The reliability of supervised machine learning systems depends on the accuracy and
availability of ground truth labels. However, the process of human annotation, being prone to …
availability of ground truth labels. However, the process of human annotation, being prone to …