Classification performance of the Wide ResNet-32 architectures on the CIFAR-10 and CIFAR-100 datasets.
dataset
posted on 2022-10-13, 17:46 authored by Junhyeok An, Soojin Jang, Junehyoung Kwon, Kyohoon Jin, YoungBin KimClassification performance of the Wide ResNet-32 architectures on the CIFAR-10 and CIFAR-100 datasets.
History
Usage metrics
Categories
Keywords
xlink "> amongsemantically meaningful informationmake effective usedata augmentation strategiescontain objects mightconstructing augmented images26 %, 83visually important regionsobject 8217novel augmentation methodconventional augmentation methodconstructed image consistssalient regionsobject lossobject characteristicssuggested methodwide resnetvarious typespublic datasetsparticularly studiedoverlapping mannermaximally utilizinglabel mismatchingexperimental resultsdegrades performancebased approachesbased approachadversarial attack1 accuracy
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC