Contour Detection
16 papers with code • 0 benchmarks • 1 datasets
Object Contour Detection extracts information about the object shape in images.
Source: Object Contour and Edge Detection with RefineContourNet
Benchmarks
These leaderboards are used to track progress in Contour Detection
ICDAR 2021
Most implemented papers
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
We develop a deep learning algorithm for contour detection with a fully convolutional encoder-decoder network.
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).
Object Contour and Edge Detection with RefineContourNet
A ResNet-based multi-path refinement CNN is used for object contour detection.
Convolutional Oriented Boundaries
We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).
Learning long-range spatial dependencies with horizontal gated-recurrent units
serre-lab/hgru_share
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NeurIPS 2018
As a prime example, convolutional neural networks, a type of feedforward neural networks, are now approaching -- and sometimes even surpassing -- human accuracy on a variety of visual recognition tasks.
Adaptive multi-focus regions defining and implementation on mobile phone
To perform the identification of focused regions and the objects within the image, this thesis proposes the method of aggregating information from the recognition of the edge on image.
Contour Knowledge Transfer for Salient Object Detection
Our goal is to overcome this limitation by automatically converting an existing deep contour detection model into a salient object detection model without using any manual salient object masks.
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
Bala93/Multi-task-deep-network
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We also propose a new joint loss function for the proposed architecture.
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
JosephineRabbit/MLMSNet
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CVPR 2019
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the internal complexity of objects and inaccurate boundaries caused by strides in convolution and pooling operations.
Contour Integration using Graph-Cut and Non-Classical Receptive Field
Many edge and contour detection algorithms give a soft-value as an output and the final binary map is commonly obtained by applying an optimal threshold.
