Turning a clip model into a scene text detector
The recent large-scale Contrastive Language-Image Pretraining (CLIP) model has shown
great potential in various downstream tasks via leveraging the pretrained vision and …
great potential in various downstream tasks via leveraging the pretrained vision and …
Towards robust real-time scene text detection: From semantic to instance representation learning
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 …
up segmentation-based methods begin to be mainstream in real-time scene text detection …
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition
Recently visually-situated text parsing (VsTP) has experienced notable advancements
driven by the increasing demand for automated document understanding and the …
driven by the increasing demand for automated document understanding and the …
Turning a clip model into a scene text spotter
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 …
model to enhance scene text detection and spotting tasks, transforming it into a robust …
Modeling entities as semantic points for visual information extraction in the wild
Abstract Recently, Visual Information Extraction (VIE) has been becoming increasingly
important in both academia and industry, due to the wide range of real-world applications …
important in both academia and industry, due to the wide range of real-world applications …
Perceiving ambiguity and semantics without recognition: an efficient and effective ambiguous scene text detector
Ambiguous scene text detection is an extremely challenging task. Existing text detectors that
rely solely on visual cues often suffer from confusion due to being evenly distributed in …
rely solely on visual cues often suffer from confusion due to being evenly distributed in …
Less is more: Removing text-regions improves clip training efficiency and robustness
The CLIP (Contrastive Language-Image Pre-training) model and its variants are becoming
the de facto backbone in many applications. However, training a CLIP model from hundreds …
the de facto backbone in many applications. However, training a CLIP model from hundreds …
Masked Text Modeling: A Self-Supervised Pre-training Method for Scene Text Detection
Scene text detection has made great progress recently with the wide use of pre-training.
Nonetheless, existing scene text detection methods still suffer from two problems: 1) Limited …
Nonetheless, existing scene text detection methods still suffer from two problems: 1) Limited …
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting
In recent years text-image joint pre-training techniques have shown promising results in
various tasks. However in Optical Character Recognition (OCR) tasks aligning text instances …
various tasks. However in Optical Character Recognition (OCR) tasks aligning text instances …
[HTML][HTML] Evaluating synthetic pre-Training for handwriting processing tasks
In this work, we explore massive pre-training on synthetic word images for enhancing the
performance on four benchmark downstream handwriting analysis tasks. To this end, we …
performance on four benchmark downstream handwriting analysis tasks. To this end, we …