Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes
Recently, models based on deep neural networks have dominated the fields of scene text
detection and recognition. In this paper, we investigate the problem of scene text spotting …
detection and recognition. In this paper, we investigate the problem of scene text spotting …
Learning modulated loss for rotated object detection
Popular rotated detection methods usually use five parameters (coordinates of the central
point, width, height, and rotation angle) or eight parameters (coordinates of four vertices) to …
point, width, height, and rotation angle) or eight parameters (coordinates of four vertices) to …
Scene text visual question answering
Current visual question answering datasets do not consider the rich semantic information
conveyed by text within an image. In this work, we present a new dataset, ST-VQA, that aims …
conveyed by text within an image. In this work, we present a new dataset, ST-VQA, that aims …
[HTML][HTML] Ad hoc on-demand distance vector (AODV) routing
RFC 3561: Ad hoc On-Demand Distance Vector (AODV) Routing [RFC Home] [TEXT|PDF|HTML]
[Tracker] [IPR] [Errata] [Info page] EXPERIMENTAL Errata Exist Network Working Group C …
[Tracker] [IPR] [Errata] [Info page] EXPERIMENTAL Errata Exist Network Working Group C …
Weakly supervised scene text generation for low-resource languages
A large number of annotated training images is crucial for training successful scene text
recognition models. However, collecting sufficient datasets can be a labor-intensive and …
recognition models. However, collecting sufficient datasets can be a labor-intensive and …
A review of natural scene text detection methods
L Yang, D Ergu, Y Cai, F Liu, B Ma - Procedia Computer Science, 2022 - Elsevier
Natural scene text detection has an important role to play in getting textual information from
natural scenes. With the continuous development of deep learning, natural scene text …
natural scenes. With the continuous development of deep learning, natural scene text …
An anchor-free region proposal network for Faster R-CNN-based text detection approaches
The anchor mechanism of Faster R-CNN and SSD framework is considered not effective
enough to scene text detection, which can be attributed to its Intersection-over-Union-based …
enough to scene text detection, which can be attributed to its Intersection-over-Union-based …
Open images v5 text annotation and yet another mask text spotter
I Krylov, S Nosov, V Sovrasov - Asian Conference on …, 2021 - proceedings.mlr.press
A large scale human-labeled dataset plays an important role in creating high quality deep
learning models. In this paper we present text annotation for Open Images V5 dataset. To …
learning models. In this paper we present text annotation for Open Images V5 dataset. To …
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 …
Pure transformer with integrated experts for scene text recognition
Scene text recognition (STR) involves the task of reading text in cropped images of natural
scenes. Conventional models in STR employ convolutional neural network (CNN) followed …
scenes. Conventional models in STR employ convolutional neural network (CNN) followed …