Image segmentation is a key task in computer vision and image processing with important
applications such as scene understanding, medical image analysis, robotic perception …

Image instance segmentation involves labeling pixels of images with classes and instances,
which is one of the pivotal technologies in many domains, such as natural scenes …

Existing state-of-the-art salient object detection networks rely on aggregating multi-level
features of pre-trained convolutional neural networks (CNNs). However, compared to high …

A Pyramid Attention Network (PAN) is proposed to exploit the impact of global contextual
information in semantic segmentation. Different from most existing works, we combine …

Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …

Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …

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 …

Model pruning has become a useful technique that improves the computational efficiency of
deep learning, making it possible to deploy solutions in resource-limited scenarios. A widely …

Inspired by recent advances of deep learning in instance segmentation and object tracking,
we introduce the concept of convnet-based guidance applied to video object segmentation …

Abstract Neural Style Transfer has shown very exciting results enabling new forms of image
manipulation. Here we extend the existing method to introduce control over spatial location …