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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
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… 
2015
2015
A New Method of Image Classification Based on Weighted Center Symmetric Local Ternary Pattern Feature
Texture information is critical to the accuracy of image classification systems. In this paper, we propose a novel descriptor… 
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
Deep Adaptive Networks for Visual Data Classification
This paper proposes a classifier called deep adaptive networks (DAN) based on deep belief networks (DBN) for visual data… 
2014
2014
SVM is not always confident: Telling whether the output from multiclass SVM is true or false by analysing its confidence values
This paper presents an algorithm to distinguish whether the output label that is yielded from multiclass support vector machine… 
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… 
2012
2012
Spatial statistics for spatial pyramid matching based image recognition
This paper presents an image feature extraction algorithm that enhances the object classification accuracy in the spatial pyramid… 
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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