Abstract: Provided in the present disclosure are an IGBT device backside structure and a preparation method therefor, and an IGBT device, the IGBT device backside structure comprising a buffer layer, the buffer layer comprising a first activation efficiency buffer area corresponding to an active area of the IGBT device and a second activation efficiency buffer area corresponding to a terminal area of the IGBT device, the activation efficiency of the first activation efficiency buffer area being less than the activation efficiency of the second activation efficiency buffer area.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device and a storage medium. The method comprises: extracting features from a to-be-processed image to so as to obtain a first feature of the image; determining the image category of the image according to the first feature and category center features of multiple reference image categories in a feature library; and in a case where the image category of the image is the first category of the multiple reference image categories, updating the category center feature of the first category according to the first feature and multiple pieces of feature information of the first category in the feature library. The method may improve the speed and accuracy of image retrieval.

Abstract: An information processing method and device, and a storage medium are provided. The method includes: obtaining first input information, the first input information including at least an image containing a target object (101); obtaining, based on the first input information, captured images of the target object that are captured by an image acquisition device within a time period from N seconds before a target time point till N seconds after the target time point, the target time point being the time point when the image acquisition device captures the target object (102); determining companions of the target object from the captured images (103); and acquiring a companion identifying result by analyzing the one or more companions based on aggregated profile data, each person in the aggregated profile data corresponding to a unique profile (104).