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Learning Shape-Aware Embedding for Scene Text Detection
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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We address the problem of detecting scene text in arbitrary shapes, which is a challenging task due to the high variety and complexity of the scene. ...
In addition, we introduce a shape-aware Loss to make training adaptively accommodate various aspect ratios of text instances and even the tiny gaps among them. ...
To overcome these difficulties, we propose learning Shape-Aware Embedding for text instances that accommodate various aspect ratios and imprecise boundaries. Design. ...
doi:10.1109/cvpr.2019.00436
dblp:conf/cvpr/TianSLLZSJ19
fatcat:r46wgnrgqjadrdq4777pavwgfq
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
[article]
2019
arXiv
pre-print
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In this paper, we propose a feasible framework for multi-lingual arbitrary-shaped STR, including instance segmentation based text detection and language model based attention mechanism for text recognition ...
Deep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision. ...
Instead of individually concentrating on scene text detection or text recognition, we propose a feasible framework for multilingual arbitrary-shaped scene text spotting [5] . ...
arXiv:1912.04561v2
fatcat:5rtipn2hsjefjifv57ouizawoi
Geometry-Aware Scene Text Detection with Instance Transformation Network
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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In this paper, we propose a geometry-aware modeling approach tailored for scene text representation with an end-to-end learning scheme. ...
transformation embedding, resulting in a robust and elegant framework to detect words or text lines at one pass. ...
for scene text. • We propose an end-to-end Instance Transformation Network for scene text detection with geometry-aware representation learning. ...
doi:10.1109/cvpr.2018.00150
dblp:conf/cvpr/WangZ0WT18
fatcat:z2ys5ri4ijhgdea3yrpaxpkode
Accurate Scene Text Detection via Scale-Aware Data Augmentation and Shape Similarity Constraint
2021
IEEE transactions on multimedia
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However, existing scene text detectors may overfit on the public datasets due to the limited training data, or generate inaccurate localization for arbitrary-shape scene texts. ...
This paper presents an arbitrary-shape scene text detection method that can achieve better generalization ability and more accurate localization. ...
Specifically, we first design a novel Scale-Aware Data Augmentation (SADA) strategy for the task of arbitrary-shape scene text detection. ...
doi:10.1109/tmm.2021.3073575
fatcat:r4rgthwbk5cw3boixvko3zbpoi
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection
[article]
2021
arXiv
pre-print
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Due to the large success in object detection and instance segmentation, Mask R-CNN attracts great attention and is widely adopted as a strong baseline for arbitrary-shaped scene text detection and spotting ...
And we propose instance-aware mask learning in which the mask head learns to predict the shape of the whole instance rather than classify each pixel to text or non-text. ...
Mask R-CNN, as one of the most powerful detectors for general object detection and instance segmentation, is widely adopted as a strong baseline for arbitrary-shaped scene text detection and spotting ...
arXiv:2109.03426v1
fatcat:oc7is6an6rdexmgwuyigea7bde
CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
[article]
2021
arXiv
pre-print
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Such way naturally learns instance-aware representations of text proposals and thus facilitates scene text detection. ...
Localizing text instances in natural scenes is regarded as a fundamental challenge in computer vision. ...
The mask branch is then applied to the detection boxes, targeting for localizing the scene texts with arbitrary orientations and shapes. ...
arXiv:2112.07513v1
fatcat:qjn2mhmftretppstgz3hgwsreq
Scene Text Detection in Natural Images: A Review
2020
Symmetry
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In this paper, we first introduce the history and progress of scene text detection and classify the traditional methods and deep learning-based methods in detail, pointing out the corresponding key issues ...
Scene text detection is attracting more and more attention and has become an important topic in machine vision research. ...
The boom of deep learning has also led to the development of successful techniques for scene text detection. ...
doi:10.3390/sym12121956
fatcat:3qd72rtd5vh5vds6ii57m37see
Lane detection with Position Embedding
[article]
2022
arXiv
pre-print
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For Tusimple dataset, there is not too complicated scene and lane has more prominent spatial features. ...
On the basis of RESA, we introduce the method of position embedding to enhance the spatial features. ...
transformer for scene text recognition. ...
arXiv:2203.12301v1
fatcat:qd4lf3nvczdb5fxtqn3xzeu7je
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
[article]
2020
arXiv
pre-print
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Arbitrary shape text detection is a challenging task due to the high variety and complexity of scenes texts. ...
In this paper, we propose a novel unified relational reasoning graph network for arbitrary shape text detection. ...
arbitrary shape text detection. ...
arXiv:2003.07493v2
fatcat:2moizmnexjekzocota3jmethuq
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
[article]
2020
arXiv
pre-print
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The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition quality. ...
To suppress such side-effect, we propose a novel position enhancement branch, and dynamically fuse its outputs with those of the decoder attention module for scene text recognition. ...
Related Work Most of traditional methods for scene text recognition [48, 49, 33, 23, 34] adopt the bottom-up approach in which individual character is first detected by sliding window, and then integrated ...
arXiv:2007.07542v2
fatcat:nruhhk2fszhcnap3vgqul3ex2m
ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
[article]
2020
arXiv
pre-print
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Scene text detection has witnessed rapid development in recent years. ...
However, there still exists two main challenges: 1) many methods suffer from false positives in their text representations; 2) the large scale variance of scene texts makes it hard for network to learn ...
variance in scene text detection. ...
arXiv:2004.04940v1
fatcat:zk4lgp6xffcf7nzlhmuumhz5wu
Cluttered TextSpotter: An End-to-End Trainable Light- weight Scene Text Spotter for Cluttered Environment
2020
IEEE Access
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Scene text detection and recognition approaches have received immense attention in computer vision research community. ...
Scene text spotting aims at simultaneously localizing and recognizing text instances, symbols, and logos in natural scene images. ...
The authors in [47] use text frontier learning and a tightness prior that refine pixel-wise mask prediction and assign polygonal boundary to each text region for arbitrary shaped text detection. ...
doi:10.1109/access.2020.3002808
fatcat:x4kbcajahrc5vgtuxsc6oyyjsa
Exploring Font-independent Features for Scene Text Recognition
[article]
2020
arXiv
pre-print
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Specifically, we introduce trainable font embeddings to shape the font styles of generated glyphs, with the image feature of scene text only representing its essential patterns. ...
Many recently-proposed methods are specially designed to accommodate the arbitrary shape, layout and orientation of scene texts, but ignoring that various font (or writing) styles also pose severe challenges ...
CONCLUSION In this paper, we proposed the attentional glyph generation with trainable font embeddings for improving the feature learning of scene text recognition. ...
arXiv:2009.07447v1
fatcat:uiql56bx6bdippff3axacpxyru
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
[article]
2018
arXiv
pre-print
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The proposed models are equipped with differentiable egomotion-aware feature warping and (learned) depth-aware unprojection operations to achieve geometrically consistent mapping between the features in ...
We present recurrent geometry-aware neural networks that integrate visual information across multiple views of a scene into 3D latent feature tensors, while maintaining an one-to-one mapping between 3D ...
We train for object instance segmentation by learning voxel segmentation embeddings [13] . ...
arXiv:1811.01292v2
fatcat:3caf2xhu7ngyzbvh5jwdqw2ooe
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
[article]
2022
arXiv
pre-print
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Tremendous progress in deep learning over the last years has led towards a future with autonomous vehicles on our roads. ...
In this paper, we propose a novel pipeline to detect unknown objects. ...
While the former detects the anchors of known classes, the latter learns instance-aware point embeddings and prototypes of the unknown classes. ...
arXiv:2205.01414v1
fatcat:4tachsjdlrfhtnenayf6lzhxwq
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