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Awsome Delineation

A curated list of resources for Delineation

Papers

  • 1989-CVGIP - Digital topology: Introduction and survey. [Paper]

  • 1994-CVGIP - Building skeleton models via 3-D medial surface axis thinning algorithms. [Paper]

  • 1994-CVGIP - On topology preservation in 3D thinning. [Paper]

  • 1995-IJPRAI - On topology preservation in 2-D and 3-D thinning. [Paper]

  • 1995-PR - A skeletonization algorithm by maxima tracking on euclidean distance transform. [Paper]

  • 1995-IVC - Skeletonization using an extended euclidean distance transform. [Paper]

  • 1996-TPAMI - Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation. [Paper]

  • 2000-MVA - Automatic Extraction of Roads from Aerial Images Based on Scale Space and Snakes. [Paper]

  • 2002-PRL - A 3-subiteration 3D thinning algorithm for extracting medial surfaces. [Paper]

  • 2003-TPAMI - A topology preserving level set method for geometric deformable models. [Paper]

  • 2004-TMI - Ridge-based vessel segmentation in color images of the retina. [Paper]

  • 2004-CSUR - A review of vessel extraction techniques and algorithms. [Paper]

  • 2004-IJCV - A Gibbs Point Process for Road Extraction from Remotely Sensed Images. [Paper]

  • 2008-CVPR - Graph cut based image segmentation with connectivity priors. [Paper]

  • 2008-CVIU - Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in n–d images. [Paper]

  • 2009-CVPR - Global connectivity potentials for random field models. [Paper]

  • 2010-ECCV - Learning to Detect Roads in High-Resolution Aerial Images. [Paper]

  • 2011-ICCV - Probabilistic image segmentation with closedness constraints. [Paper]

  • 2012-ICML - Learning to Label Aerial Images from Noisy Data. [Paper]

  • 2013-CVPR - A Higher-Order CRF Model for Road Network Extraction. [Paper]

  • 2013-CVPR - Reconstructing Loopy Curvilinear Structures Using Integer Programming.[Paper]

  • 2013-ICCV - Tree shape priors with connectivity constraints using convex relaxation on general graphs. [Paper]

  • 2014-ECCV - Generalized connectivity constraints for spatio-temporal 3D reconstruction. [Paper]

  • 2015-MIA - Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters. [Paper]

  • 2016-MICCAI - Topology Aware Fully Convolutional Networks For Histology Gland Segmentation. [Paper][Code]

  • 2016-ISBI - Deep vessel tracking: A generalized probabilistic approach via deep learning. [Paper]

  • 2016-TPAMI - Reconstructing curvilinear networks using path classifiers and integer programming. [Paper]

  • 2017-ICCV - DeepRoadMapper: Extracting Road Topology From Aerial Images. [Paper]

  • 2017-ICCV - Efficient algorithms for moral lineage tracing. [Paper]

  • 2017-MICCAIW - Vascular segmentation in TOF MRA images of the brain using a deep convolutional neural network. [Paper]

  • 2017- 3d convolutional neural networks with graph refinement for airway segmentation using incomplete data labels. [Paper]

  • 2018-CVPR - Beyond the Pixel-Wise Loss for Topology-Aware Delineation. [Paper]

  • 2018-CVPR - Matching adversarial networks. [Paper]

  • 2018-CVPR - RoadTracer: Automatic Extraction of Road Networks From Aerial Images. [Paper][Code][Project Page]

  • 2018-CVPRW - D-LinkNet: LinkNet With Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction. [Paper][Code]

  • 2018-CVPRW - D-LinkNet: LinkNet With Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction. [Paper]

  • 2018-CVPRW - Stacked U-Nets With Multi-Output for Road Extraction. [Paper]

  • 2018-CVPRW - Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery. [Paper]

  • 2018-CVPRW - Road Detection With EOSResUNet and Post Vectorizing Algorithm. [Paper]

  • 2018-BMVC - Iterative Deep Learning for Road Topology Extraction. [Paper]

  • 2018-MICCAI - A multi-task network to detect junctions in retinal vasculature. [Paper]

  • 2018-NeuroComp - Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function. [Paper]

  • 2018-SReports - Whole-brain vasculature reconstruction at the single capillary level. [Paper]

  • 2018-Arxiv - Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes. [Paper]

  • 2019-CVPR - Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. [Paper][Code]

  • 2019-CVPR - Improved Road Connectivity by Joint Learning of Orientation and Segmentation. [Paper][Code]

  • 2019-ICCV - Neural Turtle Graphics for Modeling City Road Layouts. [Paper][Project Page]

  • 2019-ICCV - Recurrent U-Net for Resource-Constrained Segmentation. [Paper]

  • 2019-ICCV - Topological map extraction from overhead images. [Paper]

  • 2019-NIPS - Topology-Preserving Deep Image Segmentation. [Paper][Code1][Code2]

  • 2019-MICCAI - A deep learning design for improving topology coherence in blood vessel segmentation. [Paper][Code]

  • 2019-MLMI - Shape-aware complementary-task learning for multi-organ segmentation. [Paper]

  • 2019-TGRS - Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. [Paper]

  • 2019-TPAMI - Joint Segmentation and Path Classication of Curvilinear Structures. [Paper]

  • 2019-TPAMI - Large scale image segmentation with structured loss based deep learning for connectome reconstruction. [Paper]

  • 2019-Arxiv - Image-conditioned graph generation for road network extraction. [Paper][Code]

  • 2019-biorxiv - Automated analysis of whole brain vasculature using machine learning. [Paper]

  • 2020-WACV - Reconstructing Road Network Graphs from both Aerial Lidar and Images. [Paper]

  • 2020-WACV - City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times. [Paper]

  • 2020-CVPR - VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. [Paper][Project Page]

  • 2020-ECCV - TopoGAN: A Topology-Aware Generative Adversarial Network. [Paper][Supple]

  • 2020-ECCV - TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. [Paper]

  • 2020-MICCAI - A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images. [Paper]

  • 2020-TPAMI - A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. [Paper]

  • 2020-CMIG - Learning tree-structured representation for 3d coronary artery segmentation. [Paper]

  • 2020-Arxiv - Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. [Paper]

  • 2020-Arxiv - clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. [Paper][Code]

Datasets

Metrics

  • 1998 - CCQ:- Empirical Evaluation of Automatically Extracted Road Axes.[Paper]

  • 2012 - Holes and Marbles:- Inferring road maps from global positioning system traces: Survey and comparative evaluation. [Paper]

  • 2013-CVPR - TLTS:- A Higher-Order CRF Model for Road Network Extraction. [Paper]

  • 2018 - APLS:- SpaceNet: A Remote Sensing Dataset and Challenge Series. [Paper]

  • 2018-CVPR - Junctin Score:- RoadTracer: Automatic Extraction of Road Networks From Aerial Images. [Paper]

  • 2020-ECCV - Towards Reliable Evaluation of Road Network Reconstructions. [Paper]

Textbooks