To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

The task of assigning semantic classes and track identities to every pixel in a video is called
video panoptic segmentation. Our work is the first that targets this task in a real-world setting …

Panoptic image segmentation is the computer vision task of finding groups of pixels in an
image and assigning semantic classes and object instance identifiers to them. Research in …

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a state-of-the-art and
easy-to-use TensorFlow codebase for general dense pixel prediction problems in computer …

Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

Plant diseases can impact crop yield. Thus, the detection of plant diseases using sensors
that can be mounted on aerial vehicles is in the interest of farmers to support decision …

In the era of deep learning, various segmentation tasks have been studied. As a new
segmentation task, panoptic segmentation has been proposed and studied by researchers …

Panoptic segmentation is a challenging task aiming to simultaneously segment objects
(things) at instance level and background contents (stuff) at semantic level. Existing methods …

The core of our approach, Pixel Consensus Voting, is a framework for instance
segmentation based on the generalized Hough transform. Pixels cast discretized …