Feature Pyramid Networks (FPNs) enhance object detection models by building high-level semantic feature maps at different scales, which allows them to effectively detect objects of varying sizes. By utilizing a top-down architecture with lateral connections, FPNs combine low-resolution, semantically strong features with high-resolution, semantically weak features to create rich multi-scale feature representations.