MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-Target Domain While Preserving Performance on Real-Source Domain
Deep neural network (DNN) based perception models are indispensable in the development of autonomous vehicles (AVs). However, their reliance on large-scale, high-quality data is broadly recognized as a burdensome necessity due to the substantial cost of data acquisition and labeling. Further, the is