1
|
{"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "paper": {"paperId": "44d23df380af207f5ac5b41459c722c87283e1eb", "key": "wider_attribute", "title": "Human Attribute Recognition by Deep Hierarchical Contexts", "journal": "Unknown", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://pdfs.semanticscholar.org/8e28/07f2dd53b03a759e372e07f7191cae65c9fd.pdf", "report_link": "papers/44d23df380af207f5ac5b41459c722c87283e1eb.html", "citation_count": 18, "citations_geocoded": 12, "citations_unknown": 6, "citations_empty": 0, "citations_pdf": 16, "citations_doi": 2, "name": "WIDER Attribute"}, "address": null, "citations": [["Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", 2017], ["Learning for MultiTask Classification of Visual Attributes", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "39.61623060", "20.83963011", "edu", "", ""], ["Deep Imbalanced Attribute Classification Using Visual Attention Aggregation", "", "University of Houston", "University of Houston", "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "29.72079020", "-95.34406271", "edu", "", "2018"], ["Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "2017"], ["Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "2018"], ["Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "2017"], ["Learning of Visual Attribute Clusters for MultiTask Classification", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "39.61623060", "20.83963011", "edu", "", "2017"], ["Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "2017"], ["Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "39.61623060", "20.83963011", "edu", "", "2018"], ["Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "", "North Carolina State University", "North Carolina State University", "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "35.77184965", "-78.67408695", "edu", "", "2016"], ["Curriculum Learning for Multi-task Classification of Visual Attributes", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "39.61623060", "20.83963011", "edu", "", "2017"], ["Attend and Interact: Higher-Order Object Interactions for Video Understanding", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "2017"]]}
|