Caltech-256 Object Category Dataset

Keywords

Clutter, Artificial intelligence, Benchmark (surveying), Object (grammar), Set (abstract data type)

References

No references recorded for this paper.

Cited by

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• Approximation and Relaxation Approaches for Parallel and Distributed Machine LearningStephen Tyree — 2014
• Hypergraph based visual categorization and segmentationHuang, Yuchi — 2010
• Visual Saliency Detection and its Application to Image RetrievalOleg Muratov — 2013
• Learning Data-Driven Representations for Robust Monocular Computer Vision ApplicationsChristian Herdtweck — 2013
• Maximum similarity based feature matching and adaptive multiple kernel learning for object recognitionZiming Zhang — 2010
• Visual region understanding : unsupervised extraction and abstractionGaurav Gupta — 2012
• Object recognition for an autonomous wheelchair equipped with a RGB-D cameraA. Bertan — 2012
• Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web imagesMarco Kortkamp — 2011

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