Combating Label Noise with a General Surrogate Model for Sample Selection
Academic Background and Problem Statement With the rapid development of Deep Neural Networks (DNNs), visual intelligence systems have made significant progress in tasks such as image classification, object detection, and video understanding. However, these breakthroughs rely heavily on the collection of high-quality annotated data, which is often t...