Bridging Domain Gaps – An ADAS Dataset Application

Domain Adaptation Transfer learning is a widely adopted technique in deep learning. It involves using the weights of a pre-trained model to drastically reduce the time and costs of training a new model. One subcategory of transfer learning is domain adaptation, which refers to improving a model on a dataset that differs from the dataset […]