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Object detection in 20 years: A survey
Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …
vision, has received great attention in recent years. Over the past two decades, we have …
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 …
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 …
Gliding vertex on the horizontal bounding box for multi-oriented object detection
Object detection has recently experienced substantial progress. Yet, the widely adopted
horizontal bounding box representation is not appropriate for ubiquitous oriented objects …
horizontal bounding box representation is not appropriate for ubiquitous oriented objects …
Unbalanced feature transport for exemplar-based image translation
Despite the great success of GANs in images translation with different conditioned inputs
such as semantic segmentation and edge map, generating high-fidelity images with …
such as semantic segmentation and edge map, generating high-fidelity images with …
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 …
Esir: End-to-end scene text recognition via iterative image rectification
Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …
due to the arbitrary text appearance variation in perspective distortion, text line curvature …
Ga-dan: Geometry-aware domain adaptation network for scene text detection and recognition
Recent adversarial learning research has achieved very impressive progress for modelling
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …
Spatial fusion gan for image synthesis
Recent advances in generative adversarial networks (GANs) have shown great potentials in
realistic image synthesis whereas most existing works address synthesis realism in either …
realistic image synthesis whereas most existing works address synthesis realism in either …