Edge detection technology aims to identify and extract the boundary information of image
pixel mutation, which is a research hotspot in the field of computer vision. This technology …

In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

Current state-of-the-art methods for image segmentation form a dense image representation
where the color, shape and texture information are all processed together inside a deep …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

We explore the potential of pooling techniques on the task of salient object detection by
expanding its role in convolutional neural networks. In general, two pooling-based modules …

Exploiting multi-scale representations is critical to improve edge detection for objects at
different scales. To extract edges at dramatically different scales, we propose a Bi …

Most existing methods of semantic segmentation still suffer from two aspects of challenges:
intra-class inconsistency and inter-class indistinction. To tackle these two problems, we …

Tremendous efforts have been made to improve mask localization accuracy in instance
segmentation. Modern instance segmentation methods relying on fully convolutional …

We present a novel boundary-aware face alignment algorithm by utilising boundary lines as
the geometric structure of a human face to help facial landmark localisation. Unlike the …

We present a model-agnostic post-processing scheme to improve the boundary quality for
the segmentation result that is generated by any existing segmentation model. Motivated by …