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 …

Localizing text in low-light environments is challenging due to visual degradations. Although
a straightforward solution involves a two-stage pipeline with low-light image enhancement …

We exploit the potential of the large-scale Contrastive Language-Image Pretraining (CLIP)
model to enhance scene text detection and spotting tasks, transforming it into a robust …

More and more end-to-end text spotting methods based on Transformer architecture have
demonstrated superior performance. These methods utilize a bipartite graph matching …

Abstract We propose Hierarchical Text Spotter (HTS), a novel method for the joint task of
word-level text spotting and geometric layout analysis. HTS can recognize text in an image …

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 …

Segmentation-based scene text detection algorithms that are accurate to the pixel level can
satisfy the detection of arbitrary shape scene text and have received widespread attention …

The irregular contour representation is one of the tough challenges in scene text detection.
Although segmentation-based methods have achieved significant progress with the help of …