Holistically-Nested Edge Detection

Keywords

Computer science, Artificial intelligence, Convolutional neural network, Pascal (unit), Benchmark (surveying)

References

• Very Deep Convolutional Networks for Large-Scale Image RecognitionKaren Simonyan, Andrew Zisserman — 2014
• Fully convolutional networks for semantic segmentationJonathan Long, Evan Shelhamer, Trevor Darrell — 2014
• DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detectionWei Shen, Xinggang Wang, Yan Wang — 2015
• Oriented edge forests for boundary detectionSam Hallman, Charless C. Fowlkes — 2014
• DeepEdge: A multi-scale bifurcated deep network for top-down contour detectionGedas Bertasius, Jianbo Shi, Lorenzo Torresani — 2014
• Hypercolumns for object segmentation and fine-grained localizationBharath Hariharan, Pablo Arbeláez, Ross Girshick — 2014
• Fast Edge Detection Using Structured ForestsPiotr Dollár, C. Lawrence Zitnick — 2014
• Efficient Graph-Based Image SegmentationPedro F. Felzenszwalb, Daniel P. Huttenlocher — 2004
• Scaling Theorems for Zero CrossingsAlan Yuille, Tomaso Poggio — 1987
• Theory of edge detectionDavid Marr, Ellen C. Hildreth — 1979
• Learning Hierarchical Features for Scene LabelingClément Farabet, Camille Couprie, Laurent Najman — 2013
• The Pascal Visual Object Classes Challenge: A RetrospectiveMark Everingham, S. M. Ali Eslami, Luc Van Gool — 2014
• Statistics of Natural Images: Scaling in the WoodsDaniel Ruderman, William Bialek — 1993
• Neural mechanisms of form and motion processing in the primate visual system.David C. Van Essen, Jack L. Gallant — 1994
• Perceptual Organization and Recognition of Indoor Scenes from RGB-D ImagesSaurabh Gupta, Pablo Arbeláez, Jitendra Malik — 2013
• On the accuracy of the Sobel edge detectorJosef Kittler — 1983
• Ecological statistics of Gestalt laws for the perceptual organization of contours.James H. Elder, R.M. Goldberg — 2002
• Rich Feature Hierarchies for Accurate Object Detection and Semantic SegmentationRoss Girshick, Jeff Donahue, Trevor Darrell — 2013
• Recovering Occlusion Boundaries from a Single ImageDerek Hoiem, Andrew N. Stein, Alexei A. Efros — 2007
• Boundary Detection Benchmarking: Beyond F-MeasuresXiaodi Hou, Alan Yuille, Christof Koch — 2013

Cited by

• Gland Instance Segmentation Using Deep Multichannel Neural NetworksL.S. Bova — 2016
• Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep NetworksMark Elert, Kemakta Konsult Ab — 2018
• Deep Crisp Boundaries: From Boundaries to Higher-Level TasksMikel Aramendi Arteaga — 2018
• A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch LabelingAmal Farag, Le Lü, Holger R. Roth — 2015
• Fully convolutional networks for semantic segmentationJonathan Long, Evan Shelhamer, Trevor Darrell — 2014
• Time-efficient sparse analysis of histopathological whole slide imagesZhaohui Huang, Antoine Veillard, Ludovic Roux — 2011
• Attention to Scale: Scale-Aware Semantic Image SegmentationLiang-Chieh Chen, Yi Yang, Jiang Wang — 2015
• Salient object detection: A surveyAli Borji, Ming-Ming Cheng, Qibin Hou — 2014
• Discovering Internal Representations from Object-CNNs Using Population EncodingJianyu Wang, Zhishuai Zhang, Vittal Premachandran — 2015
• DOC: Deep OCclusion Recovering From A Single ImagePeng Wang, Alan Yuille — 2015
• PASCAL Boundaries: A Class-Agnostic Semantic Boundary DatasetVittal Premachandran, Boyán Bonev, Alan Yuille — 2015
• Deep learning for visual understanding: A reviewYanming Guo, Yu Liu, Ard Oerlemans — 2016
• Human Parsing with Contextualized Convolutional Neural NetworkXiaodan Liang, Chunyan Xu, Xiaohui Shen — 2015
• Learning Dense Convolutional Embeddings for Semantic SegmentationAdam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos — 2015
• Semantic Segmentation with Boundary Neural FieldsGedas Bertasius, Jianbo Shi, Lorenzo Torresani — 2015
• Weakly Supervised Object BoundariesAnna Khoreva, Rodrigo Benenson, Mohamed Omran — 2015
• Deep Contrast Learning for Salient Object DetectionGuanbin Li, Yizhou Yu — 2016
• Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkJimei Yang, Brian Price, Scott Cohen — 2016
• A Fractal-based CNN for Detecting Complicated Curves in AFM ImagesHongteng Xu, Junchi Yan, Nils Persson — 2016
• Weakly Supervised Semantic Labelling and Instance SegmentationAnna Khoreva, Rodrigo Benenson, Jan Hosang — 2016

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