Object detection and tracking is one of the most important and challenging branches in
computer vision, and have been widely applied in various fields, such as health-care …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection
in natural scene images. We present the Rotation Region Proposal Networks, which are …

This paper develops a novel hyperspectral image (HSI) classification framework by
exploiting the spectral-spatial features of multiscale superpixels via recurrent neural …

Specular reflections pose great challenges on various multimedia and computer vision
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …

To realize high‐precision and high‐efficiency machine fault diagnosis, a novel deep
learning framework that combines transfer learning and transposed convolution is proposed …

Many life activities and key functions in organisms are maintained by different types of
protein–protein interactions (PPIs). In order to accelerate the discovery of PPIs for different …

Scene text detection has attracted increasing concerns with the rapid development of deep
neural networks in recent years. However, existing scene text detectors may overfit on the …

This paper introduces a novel bi-directional con-volutional framework to cope with the large-
variance scale problem in scene text detection. Due to the lack of scale normalization in …

Scene text information extraction plays an important role in many computer vision
applications. Most features in existing text extraction algorithms are only applicable to one …