Explore the fascinating differences between human visual search capabilities and deep neural networks in this 28-minute lecture by Miguel Eckstein from the University of California, Santa Barbara. Delve into intriguing experiments that reveal why humans sometimes miss giant objects and compare human performance to convolutional neural networks (CNNs) in various visual tasks. Examine the intact and faceless conditions of the experiment, analyze heat maps, and investigate performance metrics. Gain insights into real-world applications such as breast screening and micro-classification. Conclude with a comprehensive summary of the key findings and their implications for understanding visual search processes in both biological and artificial systems.