PANet: hoe bottom-up feature pyramids laagverbindingen versnellen

PANet introduces a bidirectional feature pyramid architecture that improves information flow in neural networks by combining top-down and bottom-up pathways. This approach reduces the distance between low-level and high-level features, enabling more efficient feature fusion for computer vision tasks.