Object Contour Detection extracts information about the object shape in images. No evaluation results yet. Help compare methods by submitting evaluation metrics. We develop a deep …

A collection of edge detection papers and corresponding source code/demo program (a.k.a. contour detection or boundary detection). Feel free to create a PR or an issue. (Pull Request is …

For structured feature learning on the contour, we propose to use circular convolution in deep snake, which better exploits the cycle-graph structure of a contour com-pared against generic …

Jul 15, 2024 · This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation. Indeed, traditional …

Jun 1, 2022 · In this paper, we make a comprehensive introduction to representative edge and object contour detection methods in the past two decades. Based on the development of these …

Mar 4, 2025 · Therefore, we introduce contourlet decomposition to capture multiscale directional delicate contour features and construct multiscale graph structures for semantic mining of dual …

Jun 15, 2018 · Contour plots. Building on the idea of partial dependence plots, we make use of a new type of plot called a ‘contour plot’. The goal of a contour plot is to recover the range of …

Mar 28, 2020 · Active Contour (AC)-based segmentation has been widely used to solve many image processing problems, specially image segmentation. While these AC-based methods …

We develop a deep learning algorithm for contour de-tection with a fully convolutional encoder-decoder network. Different from previous low-level edge detection, our al-gorithm focuses on …

In this work, we show that contour detection accuracy can be improved by instead making the use of the deep features learned from convolutional neural networks (CNNs).