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 …

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 …

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 …

In recent years, panoptic segmentation has drawn increasing amounts of attention, leading
to the rapid emergence of numerous related algorithms. A variety of deep neural networks …

随着深度学习与图像分割的不断发展, 图像全景分割已经成为计算机视觉领域的一个研究热点,
许多图像全景分割方法被提出. 综述了基于深度学习的图像全景分割研究方法 …

Learned image compression is making good progress in recent years. Peak signal-to-noise
ratio (PSNR) and multi-scale structural similarity (MS-SSIM) are the two most popular …

Existing panoptic segmentation networks based on multiscale methods do not distinguish
shared features according to different scales, which leads to a loss of feature information …

Recently, there is growing attention on one-stage panoptic segmentation methods which
aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently …