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Textdiffuser-2: Unleashing the power of language models for text rendering
The diffusion model has been proven a powerful generative model in recent years, yet it
remains a challenge in generating visual text. Although existing work has endeavored to …
remains a challenge in generating visual text. Although existing work has endeavored to …
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 …
Estextspotter: Towards better scene text spotting with explicit synergy in transformer
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 …
based framework. While previous studies have shown the crucial importance of the intrinsic …
Towards end-to-end unified scene text detection and layout analysis
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 …
tasks in different image domains. In this paper, we bring them together and introduce the …
Few could be better than all: Feature sampling and grou** for scene text detection
Recently, transformer-based methods have achieved promising progresses in object
detection, as they can eliminate the post-processes like NMS and enrich the deep …
detection, as they can eliminate the post-processes like NMS and enrich the deep …
Arbitrary shape text detection via boundary transformer
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 …
trivial. Existing methods often suffer from indirect text boundary modeling or complex post …
Language matters: A weakly supervised vision-language pre-training approach for scene text detection and spotting
Abstract Recently, Vision-Language Pre-training (VLP) techniques have greatly benefited
various vision-language tasks by jointly learning visual and textual representations, which …
various vision-language tasks by jointly learning visual and textual representations, which …
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 …
Vision-language pre-training for boosting scene text detectors
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 …
various scenarios. In this paper, we specifically adapt vision-language joint learning for …
A survey of text detection and recognition algorithms based on deep learning technology
XF Wang, ZH He, K Wang, YF Wang, L Zou, ZZ Wu - Neurocomputing, 2023 - Elsevier
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 …
computer vision research, as it plays a pivotal role in converting vast amounts of …