Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

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 …

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 …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-
101 and Inception, benefiting from their powerful feature representations but suffering from …

Despite significant accuracy improvement in convolutional neural networks (CNN) based
object detectors, they often require prohibitive runtimes to process an image for real-time …

We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which
is designed specially for mobile devices with very limited computing power (eg, 10-150 …

Scene text detection is an important step of scene text recognition system and also a
challenging problem. Different from general object detections, the main challenges of scene …

Previous approaches for scene text detection have already achieved promising
performances across various benchmarks. However, they usually fall short when dealing …