Transcription of Robust Classification of Objects, Faces, and Flowers Using ...
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Robust Classification of Objects, faces , and FlowersUsing natural image StatisticsChristopher Kanan and Garrison CottrellDepartment of Computer Science and EngineeringUniversity of California, San of images in many category datasets hasrapidly improved in recent years. However, systems thatperform well on particular datasets typically have one ormore limitations such as a failure to generalize across vi-sual tasks ( , requiring a face detector or extensive re-tuning of parameters), insufficient translation invariance,inability to cope with partial views and occlusion, or sig-nificant performance degradation as the number of classesis we attempt to overcome these challenges Using amodel that combines sequential visual attention Using fixa-tions with sparse coding.
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics Christopher Kanan and Garrison Cottrell Department of Computer Science and Engineering University of California, San Diego {ckanan,gary}@ucsd.edu Abstract Classification of images in many category datasets has
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