Recent advances on image edge detection: A comprehensive review
Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …
computer vision and image processing. Edge contours extracted from images are widely …
An overview of edge and object contour detection
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 …
tasks, such as shape matching, visual salience, image segmentation, and object recognition …
Contrastive learning for unpaired image-to-image translation
In image-to-image translation, each patch in the output should reflect the content of the
corresponding patch in the input, independent of domain. We propose a straightforward …
corresponding patch in the input, independent of domain. We propose a straightforward …
Edter: Edge detection with transformer
Convolutional neural networks have made significant progresses in edge detection by
progressively exploring the context and semantic features. However, local details are …
progressively exploring the context and semantic features. However, local details are …
Deep filter banks for texture recognition and segmentation
Research in texture recognition often concentrates on the problem of material recognition in
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
Learning to predict crisp boundaries
Recent methods for boundary or edge detection built on Deep Convolutional Neural
Networks (CNNs) typically suffer from the issue of predicted edges being thick and need …
Networks (CNNs) typically suffer from the issue of predicted edges being thick and need …