Weak supervision target detection method and device

The embodiment of the invention provides a weak supervision target detection method and device. The method comprises the steps of extracting image features of a to-be-detected image; wherein the to-be-detected image comprises at least one to-be-detected object; determining an initial detection result for each to-be-detected object based on the extracted image features, each initial detection result being an initial detection frame containing one to-be-detected object; based on the extracted image features, determining a salient region of each to-be-detected object; and optimizing each initialdetection result based on each salient region to obtain a target detection result for each to-be-detected object. Compared with an existing method for detecting a supervised target, a segmentation model does not need to be trained additionally, the salient region serves as the auxiliary information for optimizing the detection result, so that the training complexity of the target detection task isreduced, the salient regi