Frontiers and developments of data augmentation for image: From unlearnable to learnable
G Lin, JZ Jiang, J Bai, YW Su, ZH Su, HS Liu - Information Fusion, 2025 - Elsevier
Data augmentation is a crucial technique for expanding training datasets, effectively
alleviating the overfitting issue that arises from limited training data in deep learning models …
alleviating the overfitting issue that arises from limited training data in deep learning models …
YOLO-MPAM: Efficient real-time neural networks based on multi-channel feature fusion
Object detection is a crucial foundation in the field of autonomous driving. Therefore,
accurate and real-time detection of road objects, including vehicles and pedestrians, is …
accurate and real-time detection of road objects, including vehicles and pedestrians, is …