A Robust Method: Arbitrary Shape Text Detection Combining Semantic and Position Information

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 24; p. 9982
• Main Authors: Wang, Zhenchao, Silamu, Wushour, Li, Yuze, Xu, Miaomiao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.12.2022; MDPI
• Subjects: Algorithms; Analysis; Annotations; Boxes; Deep learning; Image retrieval; Learning; Methods; Noise control; positional encoding; Probability; probability map; semantic information; Semantics; text detection; Upper Extremity; positional encoding; deep learning; probability map; semantic information; text detection

There is a growing interest in scene text detection for arbitrary shapes. The effectiveness of text detection has also evolved from horizontal text detection to the ability to perform text detection in multiple directions and arbitrary shapes. However, scene text detection is still a challenging tas...