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Today's discussion is on the 2017 Feature Pyramid Network (FBN) for object detection by Kamihilo Ross, Gilshik, and others. The focus is on the intuitions behind using FPN and how it helps in detecting objects. FPN is inspired by the feature pyramid built on the image pyramid, allowing for different scales of images to be used for object detection. By upsampling and downsampling images, traditional computer vision algorithms can detect objects on different scales. By downsampling, the image size decreases, allowing for more precise detection.
