Instance segmentation demands substantial labeling resources. This has prompted
increased interest to explore the object discovery task as an unsupervised alternative. In …

Annotation errors are a challenge not only during training of machine learning models, but
also during their evaluation. Label variations and inaccuracies in datasets often manifest as …

This research presents a retrospective analysis of zero-shot object detectors in automating
image labeling for eyeglasses detection. The increasing demand for high-quality …

In real-world autonomous driving, deep learning models can experience performance
degradation due to distributional shifts between the training data and the driving conditions …