Scene text detection and recognition: The deep learning era
With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …
transformed and reshaped. As an important research area in computer vision, scene text …
Real-time scene text detection with differentiable binarization and adaptive scale fusion
Recently, segmentation-based scene text detection methods have drawn extensive attention
in the scene text detection field, because of their superiority in detecting the text instances of …
in the scene text detection field, because of their superiority in detecting the text instances of …
Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Although convolutional neural networks (CNNs) have achieved great success in computer
vision, this work investigates a simpler, convolution-free backbone network useful for many …
vision, this work investigates a simpler, convolution-free backbone network useful for many …
Text detection, recognition, and script identification in natural scene images: A Review
V Naosekpam, N Sahu - International Journal of Multimedia Information …, 2022 - Springer
Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …
abundant amount of valuable semantic information useful in many applications such as …
Cylindrical and asymmetrical 3d convolution networks for lidar segmentation
State-of-the-art methods for large-scale driving-scene LiDAR segmentation often project the
point clouds to 2D space and then process them via 2D convolution. Although this …
point clouds to 2D space and then process them via 2D convolution. Although this …
Fourier contour embedding for arbitrary-shaped text detection
One of the main challenges for arbitrary-shaped text detection is to design a good text
instance representation that allows networks to learn diverse text geometry variances. Most …
instance representation that allows networks to learn diverse text geometry variances. Most …
Real-time scene text detection with differentiable binarization
Recently, segmentation-based methods are quite popular in scene text detection, as the
segmentation results can more accurately describe scene text of various shapes such as …
segmentation results can more accurately describe scene text of various shapes such as …
Abcnet: Real-time scene text spotting with adaptive bezier-curve network
Scene text detection and recognition has received increasing research attention. Existing
methods can be roughly categorized into two groups: character-based and segmentation …
methods can be roughly categorized into two groups: character-based and segmentation …
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 …
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 …