In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

Object detection in aerial images is an active yet challenging task in computer vision
because of the bird's-eye view perspective, the highly complex backgrounds, and the variant …

Scene text detection and recognition have been given a lot of attention in recent years and
have been used in many vision-based applications. In this field, there are various types of …

Previous scene text detection methods have progressed substantially over the past years.
However, limited by the receptive field of CNNs and the simple representations like …

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. Specifically, we treat text detection …

Scene text detection methods based on deep learning have achieved remarkable results
over the past years. However, due to the high diversity and complexity of natural scenes …

Scene text detection attracts much attention in computer vision, because it can be widely
used in many applications such as real-time text translation, automatic information entry …

Object detection in aerial images is an active yet challenging task in computer vision
because of the birdview perspective, the highly complex backgrounds, and the variant …

Arbitrary-oriented object detection has been a building block for rotation sensitive tasks. We
first show that the boundary problem suffered in existing dominant regression-based rotation …

In this paper, we present a new Mask R-CNN based text detection approach which can
robustly detect multi-oriented and curved text from natural scene images in a unified …