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 …

The vessel-like structure in biomedical images, such as within cerebrovascular and nervous
pathologies, is an essential biomarker in understanding diseases' mechanisms and in …

The edge detection-based has profoundly inspired recent works in image classification,
object detection, segmentation, et al. With the growth of computer vision, the performance of …

Benefitting from insensitivity to light and high penetration of foggy environments, infrared
cameras are widely used for sensing in nighttime traffic scenes. However, the low contrast …

As the basis of mid-level and high-level vision tasks, edge detection has great significance
in the field of computer vision. Edge detection methods based on deep learning usually …

Edge detection is of critical importance for middle-level and high-level tasks in computer
vision. Existing edge detection methods usually use VGG16 as the encoding network and …

With the development of infrared technology, infrared dim and small target detection plays
an essential role in precision guidance and early warning systems. Due to the low contrast …

PointGoal navigation in indoor environment is a fundamental task for personal robots to
navigate to a specified point. Recent studies solved this PointGoal navigation task with near …

Deep learning-based edge detection methods have shown great advantages and obtained
promising performance. However, most of the current methods only extract features from the …

As a fundamental image characteristic, edge features encapsulate a wealth of information,
serving as a crucial foundation in image segmentation networks for accurately delineating …