Visual Attention Network

The Visual Attention Network (VAN) is a computer model designed to mimic how humans focus on important parts of an image. It processes visual information by highlighting key areas, enhancing important details, and ignoring less relevant parts. This approach improves tasks like object recognition and scene understanding by allowing the system to "pay attention" selectively, much like how our brains prioritize focus in complex visuals. VAN combines techniques from deep learning to efficiently analyze images, making it useful in applications such as image classification, medical imaging, and autonomous vehicles.