GitHub - xfflyer/Camouflaged-people-detection

Download the camouflaged people data from "https://github.com/xfflyer/Camouflaged-Data" . 2.Download the DDCN-4C model from "https://pan.baidu.com/s/1kM71fWHXQvY87DpsbZvQgw" and copy the files to "./models".
Compile matconvnet.(https://www.vlfeat.org/matconvnet/#documentation) 4.run demo_CamTest.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
RegularFunction		RegularFunction
README.md		README.md
SalandLabelOptimization.m		SalandLabelOptimization.m
SegmentationAccuracy.m		SegmentationAccuracy.m
SegmentationLoss.m		SegmentationLoss.m
addBatchNorm.m		addBatchNorm.m
bilinear_u.m		bilinear_u.m
camdata.asv		camdata.asv
camdata.m		camdata.m
demo_CamTest.m		demo_CamTest.m
demo_CamTrain.m		demo_CamTrain.m
fcnInitializeModel.m		fcnInitializeModel.m
fcnInitializeModel16s.m		fcnInitializeModel16s.m
fcnInitializeModel8s.m		fcnInitializeModel8s.m
fcnInitializeModel_3Conv.m		fcnInitializeModel_3Conv.m
fcnInitializeModel_3Conv_Dense.m		fcnInitializeModel_3Conv_Dense.m
fcnInitializeModel_5Conv_Dense.m		fcnInitializeModel_5Conv_Dense.m
getBatch.m		getBatch.m
getDatasetStatistics.m		getDatasetStatistics.m
imResample.m		imResample.m
imforwardpre.m		imforwardpre.m
matconvnet.rar		matconvnet.rar
normalize.m		normalize.m
sal_fcnInitializeModel.m		sal_fcnInitializeModel.m
sal_fcnInitializeModel16s.m		sal_fcnInitializeModel16s.m
sal_fcnInitializeModel8s.m		sal_fcnInitializeModel8s.m
sal_getDatasetStatistics.m		sal_getDatasetStatistics.m

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