This document summarizes various methods for text detection in natural scene images. It discusses approaches like feature pyramid networks (FPN), Mask R-CNN with pyramid attention networks, and Progressive Scale Expansion Network (PSENet). PSENet uses segmentation to precisely detect text in different shapes and orientations, then expands text instances using progressive scale expansion. The document also provides a literature review of several papers on text detection, compares their network architectures and results on datasets like ICDAR. Overall, it surveys state-of-the-art methods for text detection in natural images to better understand challenges and recent developments in the field.