The devil is in the details: an evaluation of recent feature encoding methods

Keywords

Computer science, Encoding (memory), Codebook, Pascal (unit), Artificial intelligence

References

• Finite Mixture ModelsPartha Deb — 2008
• Fast Approximate Nearest Neighbors with Automatic Algorithm ConfigurationMarius Muja, David Lowe — 2009
• Supervised translation-invariant sparse codingJianchao Yang, Kai Yu, Thomas S. Huang — 2010
• Efficient additive kernels via explicit feature mapsAndrea Vedaldi, Andrew Zisserman — 2010
• Locality-constrained Linear Coding for image classificationJinjun Wang, Jianchao Yang, Kai Yu — 2010
• Training linear SVMs in linear timeThorsten Joachims — 2006
• Vlfeat: an open and portable library of computer vision algorithmsAndrea Vedaldi, Brian Fulkerson — 2010
• Learning mid-level features for recognitionY-Lan Boureau, Francis Bach, Yann LeCun — 2010
• The pyramid match kernel: discriminative classification with sets of image featuresKristen Grauman, Trevor Darrell — 2005
• Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive StudyJianguo Zhang, M. Marszałek, Svetlana Lazebnik — 2006
• Object recognition from local scale-invariant featuresDavid Lowe — 1999
• Video Google: a text retrieval approach to object matching in videosSivic, Zisserman — 2003
• Nonlinear Learning using Local Coordinate CodingKai Yu, Tong Zhang, Yihong Gong — 2009
• PCA-SIFT: a more distinctive representation for local image descriptorsKe Yan, Rahul Sukthankar — 2004
• Lost in quantization: Improving particular object retrieval in large scale image databasesJames Philbin, Ondřej Chum, Michael Isard — 2008
• LIBSVM: A library for support vector machinesChih-Chung Chang, Chih‐Jen Lin — 2011
• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene CategoriesSvetlana Lazebnik, C. Schmid, Jean Ponce — 2006
• Supervised Learning of Quantizer Codebooks by Information Loss MinimizationSvetlana Lazebnik, Maxim Raginsky — 2009
• Local Features and Kernels for Classication of Texture and Object Categories: A Comprehensive StudyJianguo Zhang, Svetlana Lazebnik, Cordelia Schmid — 2006
• Visual categorization with bags of keypointsPınar Duygulu — 2002

Cited by

• On the Design and Analysis of Multiple View DescriptorsJingming Dong, Jonathan Balzer, Damek Davis — 2013
• Fisher Encoding of Adaptive Fast Persistent Feature Histograms for Partial Retrieval of 3D Pottery ObjectsMichalis A. Savelonas, Ioannis Pratikakis, Konstantinos Sfikas — 2014
• Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept DetectionPiotr Koniusz, Fei Yan, Philippe-Henri Gosselin — 2013
• 3D Robotic Sensing of People: Human Perception, Representation and Activity RecognitionHao Zhang — 2014
• Feature sampling and partitioning for visual vocabulary generation on large action classification datasetsMichael Sapienza, Fabio Cuzzolin, Philip H. S. Torr — 2014
• Incorporating Near-Infrared Information into Semantic Image SegmentationNeda Salamati, Diane Larlus, Gabriela Csurka — 2014
• Extended Bag-Of-Words Formalism For Image ClassificationSandra Avila — 2013
• Structural Learning for Visual InferencesQuannan Li — 2013
• Learning representative and discriminative image representation by deep appearance and spatial codingBingyuan Liu, Jing Liu, Hanqing Lu — 2015
• ScreenAvoider: Protecting Computer Screens from Ubiquitous CamerasMohammed Korayem, Robert Templeman, Dennis Chen — 2014
• A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch LabelingAmal Farag, Le Lü, Holger R. Roth — 2015
• Effective and efficient visual description based on local binary patterns and gradient distribution for object recognition. (Description visuelle efficace et efficace basée sur des modèles binaires locaux et une distribution en gradient pour la reconnaissance d'objets)Chao Zhu — 2012
• Large scale support vector machines algorithms for visual classificationThanh-Nghi Doan — 2013
• Feature Quantization and Pooling for VideosEkaterina H. Taralova — 2014
• Visualising Bag-of-WordsJasper Uijlings, A.W.M. Smeulders — 2011
• Learning Deep Visual RepresentationsHanlin Goh — 2013
• Contribution à la détection de concepts sur des images utilisant des descripteurs visuels et textuels. (Contribution to concept detection on images using visual and textual descriptors)Yu Zhang — 2014
• Rotation and translation covariant match kernels for image retrievalGiorgos Tolias, Andrei Bursuc, Teddy Furon — 2015
• Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images)Zeynep Akata — 2014
• Deep Filter Banks for Texture Recognition, Description, and SegmentationMircea Cimpoi, Subhransu Maji, Iasonas Kokkinos — 2015

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