With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …

The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

In this paper, we introduce InternVL 1.5, an open-source multimodal large language model
(MLLM) to bridge the capability gap between open-source and proprietary commercial …

We present DeepSeek-VL, an open-source Vision-Language (VL) Model designed for real-
world vision and language understanding applications. Our approach is structured around …

Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively
model linguistic rules in end-to-end deep networks remains a research challenge. In this …

Object detection has recently experienced substantial progress. Yet, the widely adopted
horizontal bounding box representation is not appropriate for ubiquitous oriented objects …

Context-aware STR methods typically use internal autoregressive (AR) language models
(LM). Inherent limitations of AR models motivated two-stage methods which employ an …

Scene text image contains two levels of contents: visual texture and semantic information.
Although the previous scene text recognition methods have made great progress over the …

Text in natural images is of arbitrary orientations, requiring detection in terms of oriented
bounding boxes. Normally, a multi-oriented text detector often involves two key tasks: 1) text …

Scene text detection and document layout analysis have long been treated as two separate
tasks in different image domains. In this paper, we bring them together and introduce the …