After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

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 …

We present an open-source toolbox, named MMRotate, which provides a coherent algorithm
framework of training, inferring, and evaluation for the popular rotated object detection …

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 he past decade, object detection has achieved significant progress in natural images but
not in aerial images, due to the massive variations in the scale and orientation of objects …

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

Boundary discontinuity and its inconsistency to the final detection metric have been the
bottleneck for rotating detection regression loss design. In this paper, we propose a novel …

One of the main challenges for arbitrary-shaped text detection is to design a good text
instance representation that allows networks to learn diverse text geometry variances. Most …

Differing from the well-developed horizontal object detection area whereby the computing-
friendly IoU based loss is readily adopted and well fits with the detection metrics. In contrast …

Arbitrary-oriented object detection has recently attracted increasing attention in vision for
their importance in aerial imagery, scene text, and face etc. In this paper, we show that …