Another powerful technique for object detection is using region proposal networks (RPNs) combined with deep learning models. RPNs generate a set of potential object region proposals in an image, and these proposals are further refined by a convolutional neural network (CNN) to accurately localize and classify objects. Such methods have demonstrated state-of-the-art performance in detecting objects across a wide range of classes and scenarios.