Contour Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (69 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
  15 Mar 2016 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  We develop a deep learning algorithm for contour detection with a fully convolutional encoder-decoder network.
• Object Contour and Edge Detection with RefineContourNet
  30 Apr 2019 2 repositories listed
  A ResNet-based multi-path refinement CNN is used for object contour detection.
• Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
  17 Jan 2017 2 repositories listed
  We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).
• GUI Element Detection Using SOTA YOLO Deep Learning Models
  7 Aug 2024 1 repository listed
  Detection of Graphical User Interface (GUI) elements is a crucial task for automatic code generation from images and sketches, GUI testing, and GUI search.
• KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphs
  18 Apr 2024 1 repository listed
  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.
• AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues
  29 Nov 2023 1 repository listed
  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…
• Tiny and Efficient Model for the Edge Detection Generalization
  12 Aug 2023 1 repository listed
  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
  22 Mar 2023 1 repository listed
  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.
• Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus Images
  9 Jul 2022 1 repository listed
  Blood Vessels and Exudates.
• Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations
  6 Jun 2022 1 repository listed
  This work proposes a novel system architecture for the autonomous detection and pose estimation of the sample tubes.
• Hyperparameter selection for Discrete Mumford-Shah
  28 Sep 2021 1 repository listed
  This work focuses on a parameter-free joint piecewise smooth image denoising and contour detection.
• ICDAR 2021 Competition on Historical Map Segmentation
  27 May 2021 1 repository listed
  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
  27 Oct 2020 1 repository listed
  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
  1 Jun 2019 1 repository listed
  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…
• Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
  11 Feb 2019 1 repository listed
  We also propose a new joint loss function for the proposed architecture.
• Contour Knowledge Transfer for Salient Object Detection
  1 Sep 2018 1 repository listed
  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.
• Adaptive multi-focus regions defining and implementation on mobile phone
  30 Jun 2018 1 repository listed
  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.
• Learning long-range spatial dependencies with horizontal gated-recurrent units
  21 May 2018 1 repository listed
  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.
• Convolutional Oriented Boundaries
  9 Aug 2016 1 repository listed
  We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.