Abstract: This disclosure relates to a method for vertical federated learning. In multiple participation nodes deployed in a multi-way tree topology, an upper-layer participation node corresponds to k lower-layer participation nodes. After the upper-layer participation node and the k lower-layer participation nodes exchange public keys with each other, the upper-layer participation node performs secure two-party joint computation with the lower-layer participation nodes with a first public key and second public keys as encryption parameters to obtain k two-party joint outputs of a federated model. Further, the upper-layer participation node aggregates the k two-party joint outputs to obtain a first joint model output corresponding to the federated model. As such, a multi-way tree topology deployment-based vertical federated learning architecture is provided, improving the equality of each participation node in a vertical federated learning process.

Abstract: A method and an apparatus for generating a video with a three-dimensional (3D) effect, a method and an apparatus for playing a video with a 3D effect, and a device are provided. The method includes: obtaining an original video; segmenting at least one frame of raw image of the original video to obtain a foreground image sequence including a moving object, the foreground image sequence including at least one frame of foreground image; determining, based on the foreground image sequence, a target raw image in which a target occlusion image is to be placed and an occlusion method of the target occlusion image in the target raw image; adding the target occlusion image to the target raw image based on the occlusion method to obtain a final image; and generating a target video with a 3D effect based on the final image and the original video.

Abstract: A video encoding method includes: acquiring a coding block of a video image frame; determining a partitioning mode available to the coding block according to a size of the coding block and an allowable maximum sub-block size ratio in response to a determination that sub-block transform (SBT) is to be performed on the coding block; determining, based on the partitioning mode available to the coding block, a target partitioning mode used during the SBT performed on the coding block; and partitioning the coding block based on the target partitioning mode, and decoding a plurality of sub-blocks obtained through the partitioning.

Abstract: An electronic device presents, on a display of the electronic device, a session interface. The session interface includes at least one multimedia message. The electronic device determines a first multimedia message in response to a first selection operation received through the session interface. The first multimedia message carries first multimedia data. The electronic device determines second multimedia data in response to a second selection operation. The electronic device presents a synthesis interface in response to receiving a multimedia synthesis instruction, and performs synthesis processing on the first multimedia data and the second multimedia data to obtain synthesized multimedia data.

Abstract: A data processing method for immersive media including acquiring point cloud data, encoding the point cloud data to obtain a point cloud code stream and a header information set, determining reuse indication information of the point cloud code stream based on a reuse state of the header information set, generating decoder configuration record information for the point cloud code stream according to the reuse state, and encapsulating the point cloud code stream and the decoder configuration record information as a media file of the immersive media.

Abstract: This disclosure relates to an object account grouping method and apparatus. The method includes: displaying aggregation information corresponding to at least one object account, the aggregation information including at least two dimensions of identity association information, such as identity information of the object account, chat information of a local object account and the object account, and interaction information of the object account and the local object account in a social circle; determining, in response to a group selection operation triggered for the aggregation information on a selection control of a group tag, a target group to which a target object account in the at least one object account belongs; and adding the target object account to the target group.

Abstract: A data processing method for an electronic device includes: obtaining data rebalance information representing a new partition plan for a partition table, the partition table being a table for data distribution based on a partition key; creating, for a set specified in the partition plan, a corresponding partition space, and recording, in the corresponding partition space, a current data range of a set corresponding to the partition space, the data range comprising one of a value range of the partition key and a value list of the partition key; updating the data range recorded in the corresponding partition space based on the partition plan, and updating correspondence between the corresponding partition space and sets of the partition table by using the updated data range in the corresponding partition space; and updating data distribution in the sets of the partition table based on the correspondence.

Abstract: A method for training an image recognition model includes: obtaining training image sets; obtaining a first predicted probability, a second predicted probability, a third predicted probability, and a fourth predicted probability based on the training image sets by using an initial image recognition model; determining a target loss function according to the first predicted probability, the second predicted probability, the third predicted probability, and the fourth predicted probability; and training the initial image recognition model based on the target loss function, to obtain an image recognition model.

Abstract: In a data processing method, a first training sample is received. The first training content data is encoded by using a first context encoding model to obtain a first context feature representation corresponding to the first training entity. The first semantic feature data is encoded by using a to-be-trained first entity encoding model to obtain a first semantic feature representation corresponding to the first training entity. A first feature representation loss is determined based on first similarity information between the first context feature representation and the first semantic feature representation. First model parameters of the to-be-trained first entity encoding model are adjusted based on the first feature representation loss to obtain a trained first entity encoding model. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A method of model training includes obtaining a data set for training an interest alignment model of cross domain recommendation, the data set includes first domain data and second domain data. The method also includes performing a first feature extraction on the first domain data according to the interest alignment model to obtain a first domain feature representation and performing a second feature extraction on the second domain data according to the interest alignment model to obtain a second domain feature representation. Further, the method includes performing an interest alignment between the first domain and the second domain according to the interest alignment model based on the first domain feature representation and the second domain feature representation; and training the interest alignment model in a direction that reduces at least one of a first loss and a second loss, to obtain a trained interest alignment model.

Abstract: A video decoding method, includes: partitioning a chroma block into at least one chroma sub-block based on determining a first block vector (BV) of the chroma block is derived from a second BV of a luma block; acquiring a third BV of a first luma sub-block corresponding to the at least one chroma sub-block; mapping the third BV to a fourth BV of the at least one chroma sub-block according to a chroma scale factor of video to be decoded; and decoding the chroma block according to the fourth BV to obtain a reconstructed block corresponding to the chroma block.

Abstract: This application relates to quantum chemistry. The method includes: obtaining training data for a molecular generative model; predicting, if a labeled property value in molecular property label data of a sample molecule in the training data for at least one of M properties is missing, a property value of the sample molecule for at least one property, to obtain molecular property prediction data of the sample molecule; obtaining molecular property tag data of the sample molecule based on the molecular property label data and the molecular property prediction data of the sample molecule; and training the molecular generative model based on the molecular property tag data of the sample molecule, to obtain a trained molecular generative model. This application supports training of the molecular generative model by using the training data without the labeled property value, molecular properties are more abundant and diversity of molecular data is improved.

Abstract: A video processing method includes obtaining, in response to an interaction operation received on a portion of a first image, an adjustment parameter corresponding to the interaction operation. The adjustment parameter indicates an adjustment range of a display position of one or more pixels corresponding to the portion of the first image based on the interaction operation. The method further includes obtaining a displacement parameter of the one or more pixels in the portion of the first image, the displacement parameter representing a displacement of the one or more pixels between the first image and a second image displayed after the first image. The method also includes adjusting a display position of one or more pixels in the second image based on the adjustment parameter and the displacement parameter, and displaying the second image based on the adjusted display position of the one or more pixels.

Abstract: A method and an apparatus for recognizing a subtitle region, a device, and a storage medium are provided, relating to the field of computer vision technologies of artificial intelligence. The method includes: recognizing a video to obtain n candidate subtitle regions, the candidate subtitle regions being regions in which text contents are displayed in the video, and n being a positive integer; and screening the n candidate subtitle regions according to a subtitle region screening policy to obtain the subtitle region, the subtitle region screening policy being used for determining a candidate subtitle region in which text contents have a repetition rate being lower than a repetition rate threshold and have a longest total display duration as the subtitle region. By using the method and apparatus, device, and system, labor resources required for subtitle region recognition can be saved.

Abstract: A virtual object selection method is described. The method includes displaying, on a user interface, a display picture corresponding to a virtual environment and a first virtual object located in the virtual environment. Further, the method includes obtaining a set execution range of a first operation of the first virtual object in the virtual environment, and determining a priority execution range of the first operation in the virtual environment, the priority execution range being within the set execution range and smaller than the set execution range. In addition, the method includes selecting a second virtual object from the priority execution range as a target virtual object corresponding to the first operation. Apparatus and non-transitory computer-readable medium counterpart embodiments are also provided.

Abstract: This application discloses a face anti-spoofing recognition method and apparatus, a device, and a storage medium, and relates to the field of artificial intelligence (AI) technologies. The method is performed by a computer device, including: acquiring face video data including a to-be-detected face; detecting eye contours of the to-be-detected face from image frames of the face video data, and generating an eye contour sequence; performing eye movement probability prediction based on the eye contour sequence, and generating an eye movement state sequence; acquiring a first dataset and a second dataset in the eye movement state sequence; determining a probability of existence of an abnormal blink behavior of the to-be-detected face according to the first dataset and the second dataset; and determining that the to-be-detected face is a real face in a case that the probability is less than a predetermined threshold.

Abstract: A secure multi-party computation method and apparatus, a device, and a storage medium are provided, which belong to the field of data security technologies. The method includes: performing homomorphic encryption processing on first plaintext data to generate first ciphertext data; transmitting encrypted data containing the first ciphertext data to a second node device; receiving difference ciphertext data transmitted by the second node device; and decrypting the difference ciphertext data to obtain a positive and negative property of a difference between the first plaintext data and the second plaintext data. The foregoing method and apparatus, device, and storage medium are conducive to reducing the number of times of communications of secure multi-party computation, have low communication overhead and high computation efficiency, and enable magnitude comparison and equality testing to be performed simultaneously.

Abstract: A virtual aiming control method is provided. In the method, a recoil offset for an aim point of a virtual item is obtained when a shooting operation is performed by the virtual item. A scatter offset for the aim point of the virtual item is determined based on the obtained recoil offset for the aim point of the virtual item. An aim point offset for the aim point of the virtual item is determined based on the obtained recoil offset for the aim point of the virtual item and the determined scatter offset for the aim point of the virtual item. The aim point of the virtual item is shifted based on the aim point offset.

Abstract: A communication method is provided. In the method, a request to share locations in a group session is sent by a first messaging application to a second messaging application. The first messaging application is associated with a first user account and a first terminal device. The second messaging application is associated with a second user account and a second terminal device. The request to share locations includes destination location information. Further, a group session interface of the group session is displayed by the first messaging application in response to the request to share locations in the group session being accepted by the second user account. The group session includes the first user account and the second user account. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: Embodiments of this disclosure include an information processing method. In the method, a picture of a virtual environment is displayed. The picture includes a target region located in the virtual environment where the target region is adjacent to a neighboring region in the virtual environment. In response to a first movement instruction, a virtual character is controlled to enter the target region from the neighboring region by processing circuitry of an information processing apparatus. A first movement speed of the virtual character in the neighboring region is higher than a second movement speed of the virtual character in the target region. The information processing apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.