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Landmark recognition is a technology that enables machines to identify and classify specific landmarks from images or videos, leveraging advanced algorithms and machine learning techniques. It plays a crucial role in various applications, including navigation systems, augmented reality, and cultural heritage preservation, by providing accurate and efficient recognition of significant locations.
Cross-modal perception refers to the brain's ability to integrate information from different sensory modalities, such as sight and sound, to create a coherent understanding of the environment. This process is crucial for tasks like speech perception and spatial awareness, where multiple senses work together to enhance accuracy and comprehension.
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