Computer Vision

Catalog description

Covers key computer vision topics, including image representation, convolutional neural networks, object detection, segmentation, and advanced architectures like recurrent neural networks and vision transformers. Emphasizes practical applications in classification, detection, and video analysis, with hands-on experience in model visualization and generative techniques. Prerequisite(s): AI 330 or CS 471 .