Abstract: This disclosure provides an image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining, by an electronic device, a reference surface model of a first skeleton posture of a virtual object; obtaining one or more second skeleton postures of the virtual object; generating an one or more exemplary surface models of the one or more second skeleton postures based on the reference surface model and the one or more second skeleton postures; determining a posture transformation matrix between the first skeleton posture and the second skeleton posture; and converting the exemplary surface model and the reference surface model to a same coordinate space based on the posture transformation matrix, to generate the virtual object according to the reference surface model and the one or more exemplary surface models in the coordinate space.

Abstract: The present disclosure provides an identity authentication method, a personal security kernel node, a device, and a medium. The personal security kernel node is part of an identity authentication system, the identity authentication system further comprising a relying party node and a user identity credential certifier node. The method includes: obtaining an identity authentication assurance level corresponding to a service provided by a relying party; determining, according to the identity authentication assurance level, a user identity credential used by a user for the service; transmitting the user identity credential to a user identity credential certifier node through a relying party node, so that the user identity credential certifier node performs user identity credential authentication; and performing the service with the relying party node. According to the embodiments of the present disclosure, security of user identity assets can be improved during identity authentication.

Abstract: A target positioning method is provided to include: determining, in response to determining that a video frame image including a target lesion is detected from a video stream, location information of the target lesion on the video frame image; tracking the target lesion according to the location information of the target lesion on the video frame image, and determining location information of the target lesion on a video frame image in the video stream.

Abstract: Embodiments of this disclosure provide an authentication information transmission method and system, a key management client, and a computer device. Performed by a device hosting a key management client and comprising a hardware abstract layer, the method includes receiving, through a path via a preset hardware abstract layer interface of the hardware abstract layer, authentication information from an application client associated with an application server; transmitting the authentication information to a key management server, so that the key management server transmits the authentication information to a trusted application in the device; obtaining authentication information signed by the trusted application and forwarded by the key management server; and transmitting, through the preset hardware abstract layer interface, the signed authentication information to the application server, so that the application server performs a validity check on the authentication information.

Abstract: A text classification method includes: obtaining a target text and an associated text corresponding to the target text; performing feature extraction on the target text and the associated text to obtain feature information, the feature information including one or more features; processing the feature information by using an attention mechanism to obtain one or more attention weights respectively corresponding to the one or more features, an attention weight indicating importance of the corresponding feature for the target text and the associated text; and obtaining a class detection result and result interpretation information corresponding to the target text based on the feature information and the one or more attention weights, the class detection result comprising a class distribution probability corresponding to the target text, and the result interpretation information describing impact of the one or more features on the class detection result.

Abstract: A plurality of groups of portrait components and a region in which the plurality of groups of portrait components are located are recognized from a first image, each group of portrait components corresponding to one human body, and a target region that includes a human face is determined in the region in which the plurality of groups of portrait components are located, to blur regions other than the target region in the first target image. A target group of portrait components including the human face is recognized from the first image, so that the target region in which the target group of portrait components is located is determined as a foreground region, and limbs of other people without a human face are determined as a background region. The disclosed system and method improve the accuracy of recognizing a foreground person and reducing incorrect detection in portrait recognition.

Abstract: An AI-based object classification method and apparatus, a computer-readable storage medium, and a computer device. The method includes: obtaining a target image to be processed, the target image including a target detection object; separating a target detection object image of the target detection object from the target image; inputting the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image; obtaining quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image; and classifying the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.

Abstract: Embodiments of this application disclose a sequence model processing method and apparatus, to improve a task execution effect of a sequence model. The method includes: inputting a source sequence into an encoder side of a sequence model, the encoder side including a self-attention encoder and a temporal encoder; encoding the source sequence by using the temporal encoder, to obtain a first encoding result, the first encoding result including time series information obtained by performing time series modeling on the source sequence; and encoding the source sequence by using the self-attention encoder, to obtain a second encoding result; inputting a target sequence, the first encoding result, and the second encoding result into a decoder side of the sequence model; and decoding the target sequence, the first encoding result, and the second encoding result by using the decoder side, and outputting a decoding result obtained after the decoding.

Abstract: An electronic device displays a first selection screen and displays adjustment controls corresponding to information display positions of at least one second user. The electronic device receives a trigger operation on a first adjustment control. In accordance with the receiving, and responsive to a determination that the first adjustment control is in a first display status, the electronic device displays the first adjustment control in a second display status. In response to a determination that the trigger operation on the first adjustment control is accepted by a first target user, the electronic device displays a second selection screen that includes an exchange in the information display position of the first user and the information display position of the first target user. The disclosed implementations improve user interaction efficiency during virtual character selection in gaming applications.

Abstract: A multicast method, apparatus, device, and system for a multicast group of a virtual network group are provided. The method includes: receiving a multicast data packet transmitted by a member of the virtual network group, a destination address of the multicast data packet being a multicast address; transmitting the multicast data packet to at least one target internal multicast interface, which is a dedicated interface for a multicast session; and transmitting the multicast data packet to all members or all local multicast group members of the virtual network group through the at least one target internal multicast interface. The disclosure implements multicast communication in a 5G virtual network (VN).

Abstract: This application discloses an action effect display method and apparatus, a device, and a medium, and relates to the field of interface interaction. The action effect display method includes displaying a first virtual object, the first virtual object being configured to execute a target action with an action effect; receiving an action execution operation, the action execution operation controlling the first virtual object to execute the target action in an accelerated manner; and playing effect segments in sequence to obtain an adjusted action effect of the target action corresponding to execution speed information, wherein at least two of the effect segments are played according to different adjustment ratios.

Abstract: This application provide an audio detection method performed by a computer device. The method includes: acquiring a target time point and a reference point of the target time point from target audio data; performing energy evaluation on the target time point according to an audio amplitude value of the target time point to obtain an energy evaluation value of the target time point; performing energy evaluation on the reference point according to an audio amplitude value of the reference point to obtain an energy evaluation value of the reference point; performing accuracy verification on the target time point according to the energy evaluation value of the target time point and the energy evaluation value of the reference point; and if the accuracy verification on the target time point succeeds, adding the target time point as a target stress point into a target stress point set.

Abstract: Video classification accuracy can be improved by utilizing multiple features. Classification based on a combination of an image classification model, an audio classification model, and a textual description classification model may improve classification. The image classification result is based on an image feature of the image frame. The audio classification result is based on an audio feature of the audio. The textual description classification result is based on a text feature of the textual description information. A target classification result of the target video is determined based on to the image classification result, the audio classification result, and the textual classification result.

Abstract: A computing device obtains a to-be-optimized image. The device aligns the to-be-optimized image to obtain a to-be-optimized aligned image. The to-be-optimized aligned image includes a target region having points of objects that are distributed in a standard position. The computing device uses the to-be-optimized aligned image as an inputs to a generation network. The device performs feature extraction on the to-be-optimized aligned image using the generation network, to obtain an optimized image. The generation network is obtained by training a to-be-trained generative adversarial deep neural network model according to a low-quality image pair and a joint loss function. The low-quality image pair includes a target image and a low-quality image corresponding to the target image.

Abstract: This application discloses a three-dimensional human pose estimation method performed by a computer device. An initialization pose estimation result of a single video frame in a video frame sequence of n views is extracted based on a neural network model. Single-frame and single-view human pose estimation is performed on the initialization pose estimation result for each video frame, to obtain n single-view pose estimation sequences respectively corresponding to the n views. Single-frame and multi-view human pose estimation is performed according to single-view pose estimation results with the same timestamp in the n single-view pose estimation sequences, to obtain a multi-view pose estimation sequence. Multi-frame and multi-view human pose estimation is performed on a multi-view pose estimation result in the multi-view pose estimation sequence, to obtain a multi-view and multi-frame pose estimation result. Therefore, accuracy of human pose estimation is improved.

Abstract: This application discloses an information synchronization method performed at a terminal, including: receiving a first attribute synchronization message from a server, the first attribute synchronization message indicating that a first object in a currently running game is within a first field of view of a virtual object associated with the terminal; displaying the first object according to first attribute information carried in the first attribute synchronization message; in response to an update of at least one of the first object and the virtual object, receiving a second attribute synchronization message from the server, the second attribute synchronization message indicating that a second object in the game is within the first field of view of the virtual object in the game; and updating the display of the first object and displaying the second object according to second attribute information carried in the second attribute synchronization message on the client application.

Abstract: A data processing method, device, and storage medium that reads a parallel control code; reads, according to the parallel control code, first data that has been cached in a data cache space, processes the read first data, and outputs the processed first data to the data cache space; and simultaneously moves second data from a data storage space to the data cache space according to the parallel control code, the second data being the next data of the first data. Data processing and data moving are performed simultaneously according to the parallel control code, to reduce a duration of the data processing waiting for the data moving, thereby improving a processing speed and processing efficiency.

Abstract: Embodiments of this application disclose methods, apparatuses, and storage media for transmitting and responding to assistance request information. The method includes receiving an assistance request instruction; transmitting an assistance request message to an instant messaging client of at least one request-receiving user based on the assistance request instruction, the assistance request message being displayed on a session page of the instant messaging client, the session page being used by the at least one request-receiving user to conduct a message session; and acquiring assistance request content of an assistance requesting user in real time and displaying the assistance request content to the session page.

Abstract: A page switching method performed by a page switching apparatus includes: displaying a second page and creating a first display control in response to a first trigger operation on a first page; displaying the first display control at an upper layer of the second page; displaying the first page and creating a second display control in response to a selection operation on the first display control displayed at the upper layer of the second page; and displaying the second display control at an upper layer of the first page. The first display control is configured to provide an entry to the first page; and the second display control is configured to provide an entry to the second page.

Abstract: A method for controlling a virtual object and a related apparatus are provided. The method includes displaying a user interface (UI) having a virtual environment image and an interactive panel region. The virtual environment image is an image in which a virtual environment is observed. The method also includes receiving a preset operation in a target region in the UI, with the target region being a region associated with the virtual environment image but not with the interactive panel region; and controlling the virtual object according to the preset operation to perform a corresponding motion in the virtual environment.