Abstract: The present application relates to a target detection method and apparatus, a device, and a storage medium. A main technical solution includes: acquiring video set data, inputting the video set data to a backbone network to obtain video frame feature data, inputting the video frame feature data to a convolutional neural network to obtain candidate box data of a target object, optimizing the candidate box data of the target object according to a preset uncertainty estimation loss model to obtain candidate box feature data, and inputting the candidate box feature data to a preset cross-frame and cross-view model for updating and then outputting to obtain a target box and corresponding target detection data.

Abstract: Disclosed are a Co3O4 nanosheet loaded stainless steel mesh, a preparation method and an application thereof. The method includes: S1, depositing a cobalt hydroxide nanosheet array on a surface of a stainless steel mesh by an electrochemical deposition method, and obtaining the stainless steel mesh deposited with the cobalt hydroxide nanosheet array; and S2, obtaining the Co3O4 nanosheet loaded stainless steel mesh by calcining the stainless steel mesh deposited with the cobalt hydroxide nanosheet array.