Jonghyuk Baek

ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

The performance of learning-based object detection algorithms, which attempt to both classify and locate objects within images, is determined largely by the quality of the annotated dataset used for training. Two types of labelling noises are prevalent: objects that are incorrectly classified (categ…