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
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Latest papers with no code
Perceptual learning in contour detection transfer across changes in contour path and orientation
The integration of local elements into shape contours is critical for target detection and identification in cluttered scenes.
AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues
The contribution of this paper is a new workflow for collecting data from archaeological find catalogues available as legacy resources, such as archaeological drawings and photographs in large unsorted PDF files; the workflow relies on custom software (AutArch) supporting image processing, object detection, and interactive means of validating and adjusting automatically retrieved data.
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle
In this paper, we use instance segmentation to calculate the area of individual objects within an image, we use YOLOV7 in Roboflow to generate a set of bounding boxes for each object in the image with a class label and a confidence score for every detection.
A Deep Active Contour Model for Delineating Glacier Calving Fronts
Building on this observation, we completely rephrase the task as a contour tracing problem and propose a model for explicit contour detection that does not incorporate any dense predictions as intermediate steps.
An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM
V1-SOM can tolerate noisy inputs as well as noise in the weight updates better than SOM and shows a similar level of performance when trained with high dimensional data such as the MNIST dataset.
Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron
Our automatic power plane generation approach is based on genetic optimization combined with a multilayer perceptron and is able to automatically generate power planes across a diverse set of problems with varying levels of difficulty.
Computer vision application for improved product traceability in the granite manufacturing industry
A computer vision system is presented to address this problem through color detection and the decryption of the associated code.
Computer-aided Recognition and Assessment of a Porous Bioelastomer on Ultrasound Images for Regenerative Medicine Applications
It is difficult using a single traditional image processing algorithm to extract continuous and accurate contour of a porous bioelastomer.
PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments
Modern experimental designs usually generate the recording of a large amount of data, requiring the development of automatic computational tools and intelligent algorithms for timely data acquisition and processing.
First arrival picking using U-net with Lovasz loss and nearest point picking method
Similar to \cite{wu2019semi}, we use U-net to perform the segmentation as it is proven to be state-of-the-art in many image segmentation tasks.