Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
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 …
Maskocr: Text recognition with masked encoder-decoder pretraining
Text images contain both visual and linguistic information. However, existing pre-training
techniques for text recognition mainly focus on either visual representation learning or …
techniques for text recognition mainly focus on either visual representation learning or …
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 …
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 …
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 …
Document parsing unveiled: Techniques, challenges, and prospects for structured information extraction
Document parsing is essential for converting unstructured and semi-structured documents-
such as contracts, academic papers, and invoices-into structured, machine-readable data …
such as contracts, academic papers, and invoices-into structured, machine-readable data …
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 …
Zero-shot object counting with good exemplars
Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names
of object classes during testing, without the need for manual annotations. However, a critical …
of object classes during testing, without the need for manual annotations. However, a critical …