DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection

Keywords

Computer science, Artificial intelligence, Convolutional neural network, Pattern recognition (psychology), Discriminative model

References

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Cited by

• Gland Instance Segmentation Using Deep Multichannel Neural NetworksL.S. Bova — 2016
• Deep Crisp Boundaries: From Boundaries to Higher-Level TasksMikel Aramendi Arteaga — 2018
• High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level VisionGedas Bertasius, Jianbo Shi, Lorenzo Torresani — 2015
• A Biologically-Inspired Framework for Contour Detection Using Superpixel-Based Candidates and Hierarchical Visual CuesXiao Sun, Ke Shang, Delie Ming — 2015
• DeepBag: Recognizing Handbag ModelsYan Wang, Sheng Li, Alex C. Kot — 2015
• Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classificationZhen Zuo, Gang Wang, Bing Shuai — 2015
• DeepProposal: Hunting Objects by Cascading Deep Convolutional LayersAmir Ghodrati, Ali Diba, Marco Pedersoli — 2015
• PASCAL Boundaries: A Class-Agnostic Semantic Boundary DatasetVittal Premachandran, Boyán Bonev, Alan Yuille — 2015
• Human Parsing with Contextualized Convolutional Neural NetworkXiaodan Liang, Chunyan Xu, Xiaohui Shen — 2015
• Semantic Segmentation with Boundary Neural FieldsGedas Bertasius, Jianbo Shi, Lorenzo Torresani — 2015
• Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground EmbeddingMichael Maire, Takuya Narihira, Stella X. Yu — 2015
• 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
• Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side OutputsWei Shen, Kai Zhao, Yuan Jiang — 2016
• Deep sketch feature for cross-domain image retrievalXinggang Wang, Xiong Duan, Xiang Bai — 2016
• cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurveyHirokatsu Kataoka, Yudai Miyashita, Tomoaki K. Yamabe — 2016
• DeepProp: Extracting Deep Features from a Single Image for Edit PropagationYuki Endo, Satoshi Iizuka, Yoshihiro Kanamori — 2016
• DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional LayersAmir Ghodrati, Ali Diba, Marco Pedersoli — 2016
• Learning Deep Representation for Imbalanced ClassificationChen Huang, Yining Li, Chen Change Loy — 2016
• Spatial-temporal convolutional neural networks for anomaly detection and localization in crowded scenesShifu Zhou, Wei Shen, Dan Zeng — 2016

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