Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

The machine learning community has been overwhelmed by a plethora of deep learning--
based approaches. Many challenging computer vision tasks, such as detection, localization …

We present a systematic study on a new task called dichotomous image segmentation (DIS),
which aims to segment highly accurate objects from natural images. To this end, we …

Deep neural network based methods have made a significant breakthrough in salient object
detection. However, they are typically limited to input images with low resolutions (400x400 …

Aiming at discovering and locating most distinctive objects from visual scenes, salient object
detection (SOD) plays an essential role in various computer vision systems. Coming to the …

The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

In this work, we consider the evaluation of the semantic segmentation task. We discuss the
strengths and limitations of the few existing measures, and propose new ways to evaluate …

Road extraction in remote sensing images is of great importance for a wide range of
applications. Because of the complex background, and high density, most of the existing …

In this paper, we study the salient object detection problem for images. We formulate this
problem as a binary labeling task where we separate the salient object from the background …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …