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Caltech 101

Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro… 
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AliasingCompression artifactComputer visionFlickr

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Simultaneous Classification and Novelty Detection Using Deep Neural Networks
Deep neural networks have achieved great success in classification tasks during the last years. However, one major problem to the… 
2015
2015
Detection guided deconvolutional network for hierarchical feature learning
2015
2015
Descriptor Trends in Texture Classification for Material Recognition
Recent rapid growth in the demand for technology and image investigation in many applications, such as image retrieval systems… 
2014
2014
Image Retrieval Using Hybrid CRSFS Discriminate Pattern Selection Descriptor in Caltech 101 Database
Image Retrieval is very one of the biggest task in the recent years. It is widely used in many real time databases to retrieve… 
2014
2014
Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images
Image annotation has been identified to be a suitable means by which the semantic gap which has made the accuracy of Content… 
2014
2014
Low-rank decomposition and Laplacian group sparse coding for image classification
2014
2014
Adaptive spatial partition learning for image classification
2013
2013
A contour-based shape descriptor for biomedical image classification and retrieval
Contours, object blobs, and specific feature points are utilized to represent object shapes and extract shape descriptors that… 
Review
2013
Review
2013
A Novel Approach for Image Retrieval System Combining Color, Shape & Texture Features
In many areas of commerce, government, academia, and hospitals, large collections of digital images are being created. Many of… 
2009
2009
Bayesian Localized Multiple Kernel Learning
Multiple kernel learning approaches to multi-view learning [1, 11, 7] have recently become very popular since they can easily… 
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