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 …

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

Over the past few years, the field of scene text detection has progressed rapidly that modern
text detectors are able to hunt text in various challenging scenarios. However, they might still …

The requiring of large amounts of annotated training data has become a common constraint
on various deep learning systems. In this paper, we propose a weakly supervised scene text …

Scene text detection is an important step of scene text recognition system and also a
challenging problem. Different from general object detections, the main challenges of scene …

Despite the recent success of text detection and recognition methods, existing evaluation
metrics fail to provide a fair and reliable comparison among those methods. In addition …

Existing scene text detectors generally focus on accurately detecting single-level (ie word-
level line-level or paragraph-level) text entities without exploring the relationships among …

This paper presents an end-to-end trainable fast scene text detector, named TextBoxes,
which detects scene text with both high accuracy and efficiency in a single network forward …

Scene text detection methods based on neural networks have emerged recently and have
shown promising results. Previous methods trained with rigid word-level bounding boxes …

To achieve high coverage of target boxes, a normal strategy of conventional one-stage
anchor-based detectors is to utilize multiple priors at each spatial position, especially in …