A Robust Learning Framework for Deep-Learning-Based Radar Target Detection With Partially Mislabeled Training Data

Deep-learning-based radar target detection has substantially improved detection performance, but its effectiveness depends critically on the correctness of the training labels assigned to radar echo samples. In practical applications, training data may contain partially mislabeled samples, which can