Icdar2019 robust reading challenge on multi-lingual scene text detection and recognition—rrc-mlt-2019
N Nayef, Y Patel, M Busta… - 2019 International …, 2019 - ieeexplore.ieee.org
With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual
scene Text (MLT) detection and recognition systems has never been more immense. With …
scene Text (MLT) detection and recognition systems has never been more immense. With …
Seaships: A large-scale precisely annotated dataset for ship detection
In this paper, we introduce a new large-scale dataset of ships, called SeaShips, which is
designed for training and evaluating ship object detection algorithms. The dataset currently …
designed for training and evaluating ship object detection algorithms. The dataset currently …
Attention-based extraction of structured information from street view imagery
We present a neural network model—based on Convolutional Neural Networks, Recurrent
Neural Networks and a novel attention mechanism—which achieves 84.2% accuracy on the …
Neural Networks and a novel attention mechanism—which achieves 84.2% accuracy on the …
A large chinese text dataset in the wild
In this paper, we introduce a very large Chinese text dataset in the wild. While optical
character recognition (OCR) in document images is well studied and many commercial tools …
character recognition (OCR) in document images is well studied and many commercial tools …
Wetext: Scene text detection under weak supervision
The requiring of large amounts of annotated training data has become a common constraint
on various deep learning systems. In this paper, we propose a weakly supervised scene text …
on various deep learning systems. In this paper, we propose a weakly supervised scene text …
[HTML][HTML] Real time object detection using CNN based single shot detector model
A Juneja, S Juneja, A Soneja, S Jain - Journal of Information Technology …, 2021 - jitm.ut.ac.ir
Object Detection has been one of the areas of interest of research community for over years
and has made significant advances in its journey so far. There is a tremendous scope in the …
and has made significant advances in its journey so far. There is a tremendous scope in the …
See: towards semi-supervised end-to-end scene text recognition
Detecting and recognizing text in natural scene images is a challenging, yet not completely
solved task. In recent years several new systems that try to solve at least one of the two sub …
solved task. In recent years several new systems that try to solve at least one of the two sub …
STN-OCR: A single neural network for text detection and text recognition
Detecting and recognizing text in natural scene images is a challenging, yet not completely
solved task. In re-cent years several new systems that try to solve at least one of the two sub …
solved task. In re-cent years several new systems that try to solve at least one of the two sub …
Implementation of optical character recognition using tesseract with the javanese script target in android application
Recognising characters from text have been a popular topic in the computer vision area. The
application can benefit to many problems in the world. For example: recognising text in …
application can benefit to many problems in the world. For example: recognising text in …
Spatial–temporal pooling for action recognition in videos
Recently, deep convolutional neural networks have demonstrated great effectiveness in
action recognition with both RGB and optical flow in the past decade. However, existing …
action recognition with both RGB and optical flow in the past decade. However, existing …