Universal entity fusion target identification method, system and device and storage medium

The invention discloses a universal entity fusion target identification method, system and device and a storage medium, and relates to the technical field of computer vision. The method comprises the following steps: acquiring a to-be-detected image; inputting the to-be-detected image into a target recognition model, and performing pixel correction and type recognition through the target recognition model to obtain a corrected image and a corresponding type of a target entity; the target recognition model comprises a denoising network, a feature weight weighting network and a classifier which are connected in sequence; the feature weight weighting network comprises a convolutional feature extraction network, an attention feature extraction network and a weight weighting mechanism; the input end of the convolutional feature extraction network is connected with the output end of the denoising network; the output end of the convolutional feature extraction network and the output end of the attention feature extr