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A new progressive open-set recognition method with adaptive probability threshold

Chinese Journal of Aeronautics 2023年第11期36卷 297-310页

作者： Zhunga LIU Xuemeng HUI Yimin FU Department of Automation Northwestern Polytechnical UniversityXi’an 710072China

In the traditional pattern classification method,it usually assumes that the object to be classified must lie in one of given(known)classes of the training data ***,the training data set may not contain the class of some objects in practice,and this is considered as an Open-set Recognition(OsR)*** this paper,we propose a new progressive open-set recognition method with adaptive probability *** the labeled training data and the test data(objects to be classified)are put into a common data set,and the k-Nearest Neighbors(k-NNs)of each object are sought in this common ***,we can determine the probability of object lying in the given *** the majority of k-NNs of the object are from labeled training data,this object quite likely belongs to one of the given classes,and the density of the object and its neighbors is taken into account ***,when most of k-NNs are from the unlabeled test data set,the class of object is considered very uncertain because the class of test data is unknown,and this object cannot be classified in this *** the objects belonging to known classes with high probability are all found,we re-calculate the probability of the other uncertain objects belonging to known classes based on the labeled training data and the objects marked with the estimated *** iteration will stop when the probabilities of all the objects belonging to known classes are not ***,a modified otsu’s method is employed to adaptively seek the probability threshold for the final *** the probability of object belonging to known classes is smaller than this threshold,it will be assigned to the ignorant(unknown)class that is not included in training data *** other objects will be committed to a specific *** effectiveness of the proposed method has been validated using some experiments.

关键词： Data mining k-nearest neighbors Open-set recognition Object recognition the otsu’s method

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