Abstract: A method and apparatus for upgrading an intelligent model, an electronic device and A non-transitory computer readable storage medium are provided. The method includes: acquiring input data belonging to a first domain, wherein the first domain is different from a second domain of a first intelligent model to be upgraded, and the first intelligent model is obtained through training based on first sample data which belongs to the second domain; inputting the input data to the first intelligent model, and acquiring output data corresponding to the input data, wherein the output data is outputted by the first intelligent model from processing the input data, and the output data includes a confidence value and target box information; and training the first intelligent model according to the first sample data and the output data to obtain a second intelligent model.

Abstract: The present application discloses a method and a device for searching a target in an image. The search method includes: locating a target in an image to be searched (S101); classifying the target and extracting a local feature of the target to generate a local feature code of the local feature (S102); searching an image database for suspected images of the same classification as the target through a tree classification index structure, comparing pre-stored local feature codes of the suspected images with the local feature code of the target, and outputting a suspected image with a similarity larger than a first threshold (S103).

Abstract: The present application discloses a method and a device for searching a target in an image. The search method includes: locating a target in an image to be searched (S101); classifying the target and extracting a local feature of the target to generate a local feature code of the local feature (S102); searching an image database for suspected images of the same classification as the target through a tree classification index structure, comparing pre-stored local feature codes of the suspected images with the local feature code of the target, and outputting a suspected image with a similarity larger than a first threshold (S103).