PANet Paper Walkthrough: When Feature Pyramids Go Bottom-Up

This article provides a walkthrough of the PANet paper, which introduces a bottom-up path augmentation in feature pyramids to improve information flow between low-level and high-level features. The approach enhances object detection and segmentation by shortening the path for feature propagation. The post is a technical overview aimed at readers familiar with deep learning architectures.