Deep Learning Reforms Image Matching: A Survey and Outlook
This survey reviews how deep learning has changed image matching by replacing traditional steps like detectors and filters with learnable models or merging them into single modules. It systematically analyzes these reforms, providing a framework for understanding current methods and pointing toward future needs for better robustness, speed, and multi-modal capabilities.