Search Results for author:
Found 2 papers, 2 papers with code
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data
Despite powering sensitive systems like autonomous vehicles, object detection remains fairly brittle in part due to annotation errors that plague most real-world training datasets.
Identifying Incorrect Annotations in Multi-Label Classification Data
In multi-label classification, each example in a dataset may be annotated as belonging to one or more classes (or none of the classes).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
