Salient object detection is the pixel-level dense prediction task which can highlight the
prominent object in the scene. Recently U-Net framework is widely used, and continuous …

Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …

Semantic segmentation is a basic task in computer vision, which is widely used in various
fields such as autonomous driving, detection, augmented reality and so on. Recent …

We recently demonstrated the remarkable performance of scene parsing, and one of its
aspects was shown to be relevant to performance, namely, generation of multilevel feature …

Semantic segmentation of remote sensing images is a fundamental task in computer vision,
with significant applications in forest and farmland cover surveys, geological disaster …

Recent achievements in scene understanding have benefited considerably from the rapid
development of convolutional neural networks. However, improvements of scene …

Complementarily fusing RGB and depth images while effectively suppressing task-irrelevant
noise is crucial for achieving accurate indoor RGB-D semantic segmentation. In this paper …

Significant advances have been made in the development of deep convolutional networks
for RGBD semantic segmentation. However, the full extraction and utilization of depth …

In computer vision, convolution and pooling operations tend to lose high-frequency
information, and the contour details will also disappear with the deepening of the network …

The scene perception of a production workshop is the key to realizing its intelligence. Three-
dimensional (3D) instance segmentation based on pure deep learning is an effective …