Contour Detection
17 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
Latest papers
KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphs
Quantification of microscopy time-series of in vitro reconstituted motor driven microtubule (MT) transport in 'gliding assays' is typically performed using computational object tracking tools.
Tiny and Efficient Model for the Edge Detection Generalization
xavysp/teed
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Operations such as edge detection, image enhancement, and super-resolution, provide the foundations for higher level image analysis.
$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models
dylran/diffusedenoisecount
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Furthermore, as the intermediate time steps of the diffusion process are noisy, we incorporate a regression branch for direct crowd estimation only during training to improve the feature learning.
Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations
This work proposes a novel system architecture for the autonomous detection and pose estimation of the sample tubes.
Hyperparameter selection for Discrete Mumford-Shah
This work focuses on a parameter-free joint piecewise smooth image denoising and contour detection.
ICDAR 2021 Competition on Historical Map Segmentation
Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.
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.
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.
Object Contour and Edge Detection with RefineContourNet
A ResNet-based multi-path refinement CNN is used for object contour detection.
