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Today's paper discusses the 2017 Feature Pyramid Network (FPN) for object detection by authors Kaiming He, Ross Girshick, and others. The presentation focuses on the intuition behind using FPN and how it helps in detection. FPN is inspired by the feature pyramid built upon an image pyramid, allowing for different scales of images to be used for detection using traditional computer vision algorithms. By downsampling images, smaller sizes are obtained, making it easier for handcrafted algorithms to slide and detect objects.
