Edge detection is fundamental to advanced computer vision tasks. Although deep learning-
based methods can generate excellent results, they tend to be computationally expensive …

The ability to detect edges is a fundamental attribute necessary to truly capture visual
concepts. In this paper, we show that edges cannot be represented properly in the first layer …

Deep learning-based edge detectors typically consist of the encoder and the decoder. To
integrate multi-scale features into a global edge map effectively, researchers utilize …

Edge detection is one of the fundamental components of advanced computer vision tasks,
and it is essential to preserve computational resources while ensuring a certain level of …

Аннотация Рассматривается задача уменьшения вычислительной сложности методов
выделения контуров на изображениях. Решение поставленной задачи достигается …

Edge detection, a basic task in the field of computer vision, is an important preprocessing
operation for the recognition and understanding of a visual scene. In conventional models …

Edge detection is a fundamental task in digital image processing, in this paper, we propose
an algorithm specifically for fine and sharp edge detection, which can provide more valuable …

In recent years, the field of bionics has attracted the attention of numerous scholars. Some
models combined with biological vision have achieved excellent performance in computer …

This paper describes the architecture of a neural network for edge detection. Different filters
for first-layer neurons are compared. Neural network learning based on a cosine measure …

This paper addresses contour detection by simulating the human visual system and its
application to visual object classification. Unlike previously designed bioinspired contour …