Deep neural networks are extremely vulnerable to malicious input data. As 3D data is increasingly used in vision tasks such as robots, autonomous driving and drones, the internal robustness of classification models for point cloud has received widespread attention. In this paper, we propose a novel method named SPGA (Shape Prior Guided Attack) generate adversarial examples. We use shape prior i...

Almost all existing amodal segmentation methods make the inferences of occluded regions by using features corresponding to whole image. This is against human's perception, where human uses visible part and shape prior knowledge target infer region. To mimic behavior solve ambiguity in learning, we propose a framework, it firstly estimates coarse mask mask. Then based on prediction, our model in...

in this paper, a bayesian approach is proposed for shift point detection in an inverse gaussian distribution. in this study, the mean parameter of inverse gaussian distribution is assumed to be constant and shift points in shape parameter is considered. first the posterior distribution of shape parameter is obtained. then the bayes estimators are derived under a class of priors and using variou...

Four media, Lowenstein-Jensen, Middlebrook, Petragnani, and ribonucleic acid, were tested for comparative ability to detect Mycobacterium tuberculosis. Specimens used included sputum, urine, tissue, and gastric washings. Three types of comparison were used: (i) comparison derived from randomized specimens; (ii) comparison of cultures from newly diagnosed cases that had received no prior therapy...