Evaluating knowledge transfer and zero-shot learning in a large-scale setting

Keywords

Scalability, Computer science, Scale (ratio), Artificial intelligence, Similarity (geometry)

References

• Caltech-256 Object Category DatasetG. S. Griffin, Alex Holub, Pietro Perona — 2007
• Single-example Learning of Novel Classes using Representation by SimilarityEvgeniy Bart, Shimon Ullman — 2005
• What helps where – and why? Semantic relatedness for knowledge transferMarcus Rohrbach, Michael Stark, György Szarvas — 2010
• Attribute-centric recognition for cross-category generalizationAli Farhadi, Ian Endres, Derek Hoiem — 2010
• NUS-WIDE: a real-world web image database from National University of SingaporeTat‐Seng Chua, Jinhui Tang, Richang Hong — 2009
• Aggregating local descriptors into a compact image representationHervé Jeǵou, Matthijs Douze, Cordelia Schmid — 2010
• Locality-constrained Linear Coding for image classificationJinjun Wang, Jianchao Yang, Kai Yu — 2010
• Acceleration of stochastic approximation by averagingB. T. Polyak, Anatoli Juditsky — 1992
• Semantic Hierarchies for Visual Object RecognitionMarcin Marszałek, Cordelia Schmid — 2007
• ImageNet: A large-scale hierarchical image databaseJia Deng, Wei Dong, Richard Socher — 2009
• One-shot learning of object categoriesLi Fei-Fei, Rob Fergus, Pietro Perona — 2006
• Learning and using taxonomies for fast visual categorizationG. S. Griffin, Pietro Perona — 2008
• WordNet: A Lexical Database for EnglishGeorge A. Miller — 1992
• Large-scale image classification: Fast feature extraction and SVM trainingYuanqing Lin, Fengjun Lv, Shenghuo Zhu — 2011
• In Defense of One-Vs-All ClassificationRyan Rifkin, Aldebaro Klautau — 2004
• Learning to detect unseen object classes by between-class attribute transferChristoph H. Lampert, Hannes Nickisch, Stefan Harmeling — 2009
• SGD-QN: Careful Quasi-Newton Stochastic Gradient DescentAntoine Bordes, Léon Bottou, Patrick Gallinari — 2009
• Object Classification from a Single Example Utilizing Class Relevance MetricsMichael Fink — 2004
• 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene RecognitionAntonio Torralba, Rob Fergus, William T. Freeman — 2008
• Exploiting Object Hierarchy: Combining Models from Different Category LevelsAlon Zweig, Daphna Weinshall — 2007

Cited by

• Large Scale Visual RecognitionJia Deng — 2012
• Building Hierarchies of Concepts via CrowdsourcingYuyin Sun, Adish Singla, Dieter Fox — 2015
• Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images)Zeynep Akata — 2014
• Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action RecognitionChuang Gan, Ming Lin, Yi Yang — 2015
• Recognizing unknown objects with attributes relationship modelWai Lam Hoo, Chee Seng Chan — 2015
• Semantic Graph for Zero-Shot LearningZhenyong Fu, Tao Xiang, Shaogang Gong — 2014
• Probabilistic Label Relation Graphs with Ising ModelsNan Ding, Jia Deng, Kevin Murphy — 2015
• Cyberspace Security Using Adversarial Learning and Conformal PredictionHarry Wechsler — 2015
• Visual Transfer Learning: Informal Introduction and Literature OverviewErik Rodner — 2012
• Learning to Learn by Exploiting Prior KnowledgeTatiana Tommasi — 2013
• Probabilistic Zero-shot Classification with Semantic RankingsJihun Hamm, Mikhail Belkin — 2015
• Learning Image Classification and Retrieval Models. (Apprentissage de Modèles pour la Classification et la Recherche d'Images)Thomas Mensink — 2012
• Semi-supervised learning for image classificationSandra Ebert — 2012
• Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual contentMarcus Rohrbach — 2014
• Transductive transfer learning for computer vision.Nazli Farajidavar — 2015
• From categories to subcategories: Large-scale image classification with partial class label refinementMarko Ristin, Jüergen Gall, Matthieu Guillaumin — 2015
• Weakly supervised localization of novel objects using appearance transferMrigank Rochan, Yang Wang — 2015
• Learning Hypergraph-regularized Attribute PredictorsSheng Huang, Mohamed Elhoseiny, Ahmed Elgammal — 2015
• Zero-shot object recognition by semantic manifold distanceZhenyong Fu, Tao Xiang, Elyor Kodirov — 2015
• COSTA: Co-Occurrence Statistics for Zero-Shot ClassificationThomas Mensink, Efstratios Gavves, Cees G. M. Snoek — 2014

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