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Semantic segmentation based on fusion of features and classifiers
the increased complexity and diversity of the technologies led to a partnership, initiated by Genera
LearningRichFeaturesfromRGB-DImagesforObjectDetectionandSegmentation作者:SaurabhGupta1,RossGirshick1,
UnderstandtheJVMAdvancedfeaturesandBestpractices深入理解Java虚拟机
SystemC_2011_New_Features.pdf
DavidG.Lowe2004年关于SIFT的更新journalpaper,demo及其过往信息,可参考http://www.cs.ubc.ca/~lowe/keypoints/
sift的文章,ObjectRecognitionfromLocalScale-InvariantFeatures;还有一篇sift的专利论文,两篇完整讲述,英文的。
DemocodefordetectingandmatchingSIFTfeatures
ARINC600支架设计可供参考的一些参数。
mtkmmi相关features,介绍mtk平台以来的一些features,以便mtk开发人员更加了解平台特性
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