End-to-end text spotting aims to integrate scene text detection and recognition into a unified
framework. Dealing with the relationship between the two sub-tasks plays a pivotal role in …

In recent years, end-to-end scene text spotting approaches are evolving to the Transformer-
based framework. While previous studies have shown the crucial importance of the intrinsic …

End-to-end scene text spotting has made significant progress due to its intrinsic synergy
between text detection and recognition. Previous methods commonly regard manual …

自然场景图像中丰富的文本内容对场景理解有着重要意义, 但自然场景文本往往具有极端横纵比
, 字体风格多变, 背景及形状复杂等特点, 而传统的文本检测与端到端识别方法存在着模型设计 …

Modularity plays a crucial role in the development and maintenance of complex systems.
While end-to-end text spotting efficiently mitigates the issues of error accumulation and sub …

Scene text detection is challenging due to the diverse text appearance, the complex
background, and the expensive labeling of training data. For detecting arbitrary-shaped …

Scene text spotting is a challenging task, especially for inverse-like scene text, which has
complex layouts, eg, mirrored, symmetrical, or retro-flexed. In this paper, we propose a …

Scene text spotting, a unified framework between text detection and text recognition, has
made great progress in recent years. Existing methods usually adopt the fully-supervised …

Deep learning has achieved great success in text detection, where recent methods adopt
inspirations from segmentation to detect scene texts. However, most segmentation based …

In recent years, scene text spotting approaches have evolved into a multi-modal-based
framework. Although previous studies have highlighted the crucial importance of the intrinsic …