The recent large-scale Contrastive Language-Image Pretraining (CLIP) model has shown
great potential in various downstream tasks via leveraging the pretrained vision and …

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 …

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 …

Recently, transformer-based methods have achieved promising progresses in object
detection, as they can eliminate the post-processes like NMS and enrich the deep …

In arbitrary shape text detection, locating accurate text boundaries is challenging and non-
trivial. Existing methods often suffer from indirect text boundary modeling or complex post …

Abstract Recently, Vision-Language Pre-training (VLP) techniques have greatly benefited
various vision-language tasks by jointly learning visual and textual representations, which …

The diffusion model has been proven a powerful generative model in recent years, yet
remains a challenge in generating visual text. Several methods alleviated this issue by …

Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-
up segmentation-based methods begin to be mainstream in real-time scene text detection …

Recently, vision-language joint representation learning has proven to be highly effective in
various scenarios. In this paper, we specifically adapt vision-language joint learning for …

Abstract Optical Character Recognition (OCR) poses a crucial challenge within the realm of
computer vision research, as it plays a pivotal role in converting vast amounts of …