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 …
Traditional to transfer learning progression on scene text detection and recognition: a survey
Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
Scene text detection and recognition with advances in deep learning: a survey
Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …
several years. It can find many applications in reality ranging from navigation for vision …
Beyond OCR+ VQA: Towards end-to-end reading and reasoning for robust and accurate textvqa
Text-based visual question answering (TextVQA), which answers a visual question by
considering both visual contents and scene texts, has attracted increasing attention recently …
considering both visual contents and scene texts, has attracted increasing attention recently …
Unambiguous scene text segmentation with referring expression comprehension
Text instance provides valuable information for the understanding and interpretation of
natural scenes. The rich precise high-level semantics embodied in the text could be …
natural scenes. The rich precise high-level semantics embodied in the text could be …
Mining the displacement of max-pooling for text recognition
The max-pooling operation in convolutional neural networks (CNNs) downsamples the
feature maps of convolutional layers. However, in doing so, it loses some spatial information …
feature maps of convolutional layers. However, in doing so, it loses some spatial information …
An end-to-end ocr text re-organization sequence learning for rich-text detail image comprehension
Nowadays the description of detailed images helps users know more about the
commodities. With the help of OCR technology, the description text can be detected and …
commodities. With the help of OCR technology, the description text can be detected and …
Improving 3D metric GPR imaging using automated data collection and learning-based processing
Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation
(NDE) devices to detect subsurface objects (ie, rebars, utility pipes) and reconstruct the …
(NDE) devices to detect subsurface objects (ie, rebars, utility pipes) and reconstruct the …
Urdu signboard detection and recognition using deep learning
Signboard detection and recognition is an important task in automated context-aware
marketing. Recently many scripting languages like Latin, Japanese, and Chinese have been …
marketing. Recently many scripting languages like Latin, Japanese, and Chinese have been …
Scene-text oriented referring expression comprehension
Referring expression comprehension (REC) aims to identify and locate a specific object in
visual scenes referred to by a natural language expression. Existing studies of REC only …
visual scenes referred to by a natural language expression. Existing studies of REC only …