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 …

Deep learning-based object detection and instance segmentation have achieved
unprecedented progress. In this article, we propose complete-IoU (CIoU) loss and Cluster …

Prevalent state-of-the-art instance segmentation methods fall into a query-based scheme, in
which instance masks are derived by querying the image feature using a set of instance …

In this work, we design a simple, direct, and fast framework for instance segmentation with
strong performance. To this end, we propose a novel and effective approach, termed …

We present a new method for efficient high-quality image segmentation of objects and
scenes. By analogizing classical computer graphics methods for efficient rendering with over …

We propose a simple yet effective instance segmentation framework, termed CondInst
(conditional convolutions for instance segmentation). Top-performing instance segmentation …

We present a new, embarrassingly simple approach to instance segmentation. Compared to
many other dense prediction tasks, eg, semantic segmentation, it is the arbitrary number of …

Instance segmentation is one of the fundamental vision tasks. Recently, fully convolutional
instance segmentation methods have drawn much attention as they are often simpler and …

We propose a simple yet efficient anchor-free instance segmentation, called CenterMask,
that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one …