PANet

PANet (Path Aggregation Network) is a neural network architecture designed to improve object detection by better capturing features at different scales. It enhances the flow of information between layers, allowing the model to more accurately identify objects of various sizes and complexities. By integrating features from shallow (detailed) and deep (semantic) layers, PANet helps detection systems perform more reliably in complex scenes, leading to higher accuracy in locating and classifying objects within images.