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Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Object Detection by Contour Segment Networks
inferredcites →https://doi.org/10.1007/3-540-47967-8_8openalex-snapshot
Class-Specific, Top-Down Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_22openalex-snapshot
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferredcites →https://doi.org/10.1007/978-3-540-88690-7_40openalex-snapshot
Multi-scale Improves Boundary Detection in Natural Images
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_4openalex-snapshot
Learning-Based Symmetry Detection in Natural Images
inferredcites →https://doi.org/10.1007/s11263-006-6993-yopenalex-snapshot
Object Recognition as Many-to-Many Feature Matching
inferredcites →https://doi.org/10.1007/s11263-010-0412-0openalex-snapshot
Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model
inferredcites →https://doi.org/10.1016/j.patcog.2015.10.015openalex-snapshot
Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images
inferredcites →https://doi.org/10.1016/j.patrec.2015.04.006openalex-snapshot
A survey on skeletonization algorithms and their applications
inferredcites →https://doi.org/10.1023/a:1008045108935openalex-snapshot
Feature Detection with Automatic Scale Selection
inferredcites →https://doi.org/10.1023/a:1008097225773openalex-snapshot
Edge Detection and Ridge Detection with Automatic Scale Selection
inferredcites →https://doi.org/10.1023/a:1008102926703openalex-snapshot
Shock Graphs and Shape Matching
inferredcites →https://doi.org/10.1108/03684920710743466openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1109/cvpr.2004.1315062openalex-snapshot
A segmentation-free approach for skeletonization of gray-scale images via anisotropic vector diffusion
inferredcites →https://doi.org/10.1109/cvpr.2014.351openalex-snapshot
Multiscale Centerline Detection by Learning a Scale-Space Distance Transform
inferredcites →https://doi.org/10.1109/cvpr.2015.7298871openalex-snapshot
Symmetry-based text line detection in natural scenes
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299024openalex-snapshot
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection
inferredcites →https://doi.org/10.1109/iccv.2001.937586openalex-snapshot
A pseudo-distance map for the segmentation-free skeletonization of gray-scale images
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/iccv.2009.5459188openalex-snapshot
Active skeleton for non-rigid object detection
inferredcites →https://doi.org/10.1109/iccv.2009.5459472openalex-snapshot
Multiscale symmetric part detection and grouping
inferredcites →https://doi.org/10.1109/iccv.2013.220openalex-snapshot
Detecting Curved Symmetric Parts Using a Deformable Disc Model
inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
inferredcites →https://doi.org/10.1109/tip.2006.887731openalex-snapshot
Accurate Centerline Detection and Line Width Estimation of Thick Lines Using the Radon Transform
inferredcites →https://doi.org/10.1109/tip.2014.2365140openalex-snapshot
Local Symmetry Detection in Natural Images Using a Particle Filtering Approach
inferredcites →https://doi.org/10.1109/tpami.2004.1273924openalex-snapshot
Recognition of shapes by editing their shock graphs
inferredcites →https://doi.org/10.1109/tpami.2007.59openalex-snapshot
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
inferredcites →https://doi.org/10.1109/tpami.2011.118openalex-snapshot
Curved Glide-Reflection Symmetry Detection
inferredcites →https://doi.org/10.1109/tpami.2014.2377715openalex-snapshot
Fast Edge Detection Using Structured Forests
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1561/0600000008openalex-snapshot
Computational Symmetry in Computer Vision and Computer Graphics
inferredcites →https://doi.org/10.1561/9781601983657openalex-snapshot
Computational Symmetry in Computer Vision and Computer Graphics
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1504.00325openalex-snapshot
Microsoft COCO Captions: Data Collection and Evaluation Server
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
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Skeleton Merger: an Unsupervised Aligned Keypoint Detector
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