Abstract: A face attribute recognition method, electronic device, and storage medium. The method may include obtaining a face image, inputting the face image into an attribute recognition model, performing a forward calculation on the face image using the attribute recognition model to obtain a plurality of attribute values according to different types of attributes, and outputting the plurality of attribute values, the plurality of attribute values indicating recognition results of a plurality of attributes of the face image. The attribute recognition model may be obtained through training based on a plurality of sample face images, a plurality of sample attribute recognition results of the plurality of sample face images, and the different types of attributes.

Abstract: The present disclosure provides an information analysis method, an electronic device, and a storage medium. The method includes: determining access frequency information for a candidate online resource in at least two time periods; determining a time factor of the candidate online resource based on the access frequency information for the candidate online resource in each time period; and determining an importance level parameter of each time period. The method also includes: determining a weight value of the candidate online resource based on the time factor; selecting N target online resources based on the weight value of the candidate online resource; and displaying related information of the N target online resources on a target page of a target application, wherein N is an integer.

Abstract: This disclosure discloses a method and an apparatus for adjusting a viewing angle in a virtual environment. The method includes: displaying a first viewing angle picture, the first viewing angle picture including a virtual object having a first orientation; receiving a drag instruction for a viewing angle adjustment control; adjusting the first viewing angle direction according to the drag instruction, to obtain a second viewing angle direction; and displaying a second viewing angle picture, the second viewing angle picture including the virtual object having the first orientation.

Abstract: This application discloses an image display method performed at a terminal device. While playing a multimedia resource and after detecting that a target operation is performed on a playback progress bar of the multimedia resource, the terminal device obtains a target playback time point at which a target operation is to be performed on the playback progress bar in the multimedia resource. The terminal device determines a target region corresponding to the target playback time point in a target image, the target image comprising a plurality of regions, each region having a correspondence with a respective one of a plurality of playback time points of the multimedia resource, and displays a portion of the target image corresponding to the target region adjacent the playback progress bar. This application resolves the technical problem of relatively low image display efficiency in related art.

Abstract: Provided are an artificial intelligence (AI)-based method and apparatus for training a classification task model, a device, and a storage medium, which relate to the field of machine learning (ML) technologies. The method includes: training an initial feature extractor by using a first dataset to obtain a feature extractor, the first dataset being a class imbalanced dataset; constructing a generative adversarial network, the generative adversarial network including the feature extractor and an initial feature generator; training the generative adversarial network by using second class samples to obtain a feature generator; constructing a classification task model, the classification task model including the feature generator and the feature extractor; and training the classification task model by using the first dataset, the feature generator being configured to augment the second class samples in a feature space in a training process of the classification task model.

Abstract: Embodiments of this disclosure include a method and an apparatus for transmitting data. The method may include, in response to a data frame entering a low jitter (LJ) access category, setting an LJ tolerance of the LJ access category to a first tolerance value. The method may further include, in response to a value of the LJ tolerance decreasing to zero, setting the LJ tolerance to a second tolerance value and setting a backoff count of the LJ access category from a first backoff value to a second backoff value. The second tolerance value may be less than or equal to the first tolerance value. The second backoff value may be less than the first backoff value. The method may further include transmitting the data frame to a target station using the LJ access category in response to the backoff count decreasing to zero.

Abstract: Embodiments include information processing methods, a server, a terminal, and non-transitory computer-readable storage mediums. One information processing method includes receiving a request for electronic information. The request for the electronic information is sent by a first user logged into a first terminal. The method includes recommending and sharing at least one piece of recommended information, which corresponds to the electronic information, to at least one second user according to a recommendation and/or sharing rule associated with the electronic information. The at least one second user is associated with the first user. The method further includes, when the at least one second user logs into a second terminal and performs a function based on the at least one piece of recommended information, sending at least one piece of content information to a database accessible by the first user according to the at least one piece of recommended information.

Abstract: Embodiments of the disclosure provide an image processing method and apparatus, a computer-readable medium, and an electronic device. The image processing method includes: extracting a feature map of a target image; dividing the feature map into target regions; determining weights of the target regions according to feature vectors of the target regions; and generating a feature vector of the target image according to the weights of the target regions and the feature vectors of the target regions.

Abstract: Aspects of the disclosure provide an apparatus for target tracking including processing circuitry that obtains a plurality of target instances according to a target detection on image data. Each of the plurality of target instances corresponds to one of a plurality of tracked targets. The processing circuitry determines a plurality of trajectory segments, each of which indicates a trajectory of a subset of the target instances corresponding to a same tracked target. The processing circuitry determines feature information of the plurality of trajectory segments. The processing circuitry performs clustering on specified trajectory segments of the plurality of trajectory segments according to the feature information of the specified trajectory segments, to obtain a type distribution of the specified trajectory segments. The processing circuitry determines, according to the type distribution of the specified trajectory segments, a target tracking result including a same type of the specified trajectory segments.

Abstract: A method and an apparatus for estimating travel time are provided. A request, via interface circuitry of the apparatus, is obtained to estimate the travel time of a target travel route from a starting point to an end point. The apparatus subsequently obtains, via the interface circuitry, road traffic information along the target travel route at a current time. The estimated travel time of the target travel route is calculated by processing circuitry of the apparatus according to the obtained road traffic information and historical travel data. The historical travel data includes a plurality of historical travel routes, respective road traffic information for each of the plurality of historical travel routes, and a respective actual travel time of each of the plurality of historical travel routes.

Abstract: A data processing method and apparatus are described. The method includes receiving a request which carries a user identifier (ID) from a user terminal. The method also includes determining all associated user IDs associated with the user ID. The method also includes selecting N particular user IDs which meet a set condition from all the associated user IDs, pulling latest user data corresponding to the N particular user IDs, and returning the latest user data corresponding to the N particular user IDs to the user terminal. Wherein N is smaller than or equal to a user data amount M requested by a page.

Abstract: Embodiments of the present disclosure provide a data buffering method. In the method, a network device obtains multimedia data and network characteristic information of a communications network. The communications network includes a first communications network or a second communications network, the first communications network is configured to transmit the multimedia data to the network device, and the second communications network is configured to transmit the multimedia data to a terminal device. A target data volume corresponding to the terminal device is determined at least based on the network characteristic information of the first communications network and/or the second communications network. First buffered data representing the multimedia data is determined based on the obtained multimedia data and has the target data volume. The first buffered data is sent to the terminal device by using the second communications network.

Abstract: A depth information determining method for dual cameras is provided. A tth left eye matching similarity from a left eye image captured by a first camera of the dual cameras to a right eye image captured by a second camera of the dual cameras is obtained. A tth right eye matching similarity from the right eye image to the left eye image is obtained. The tth left eye matching similarity and a (t?1)th left eye attention map are processed with a neural network model, to obtain a tth left eye disparity map. The tth right eye matching similarity and a (t?1)th right eye attention map are processed with the neural network model, to obtain a tth right eye disparity map. First depth information is determined according to the tth left eye disparity map. Second depth information is determined according to the tth right eye disparity map.

Abstract: An information delivery method is provided, including: determining a candidate information list in response to a page request sent by a user, where the candidate information list comprises a plurality pieces of information; generating ranks of the pieces of information in the candidate information list by sorting the plurality pieces of information in the candidate information list in accordance with a predetermined rule; acquiring a current average rank of the information of a designated type in the candidate information list based on the ranks of the pieces of information in the candidate information; and selecting designated delivery information from the information of the designated type, based on the current average rank of the information of the designated type and a historical average rank corresponding to the information of the designated type.

Abstract: A method and an apparatus for obtaining data, based on location information, are provided. The method includes receiving, from a user terminal, a first query request that is used to obtain object information, the first query request carrying location information of the user terminal, and querying, in response to a cache area being not empty, the cache area for hotspot data in an area range in which the location information of the user terminal is located, the hotspot data being information of an object included in the area range, and the hotspot data being cached in response to a frequency of query access occurring in the area range exceeding a predetermined threshold. The method further includes sending, to the user terminal, the hotspot data in the area range.

Abstract: An image processing method is provided, including: extracting at least one image feature point from a target frame image captured by a camera; obtaining feature information of at least one optical flow image feature point in a previous frame image captured by the camera in a case that the target frame image is a valid frame image, and determining, in the at least one image feature point, an image feature point corresponding to the optical flow image feature point according to feature information of the at least one image feature point; calculating a displacement distance, in a frame image, between the optical flow image feature point in the previous frame image and the corresponding image feature point in the target frame image; and outputting the target frame image in response to determining according to the displacement distance that the target frame image is captured in a non-motion state.

Abstract: Aspects of the disclosure provide methods and mobile robots for providing information to a pedestrian. In some examples, a mobile robot includes processing circuitry. The processing circuitry obtains, via a sensor, sensing data that indicates an ambient environment of the mobile robot. The processing circuitry determines path indication information according to the sensing data. The path indication information includes a planned path of the mobile robot. The processing circuitry projects the path indication information on a target projection surface.

Abstract: Embodiments include information processing methods, a server, a terminal, and non-transitory computer-readable storage mediums. One information processing method includes receiving a request for electronic information. The request for the electronic information is sent by a first user logged into a first terminal. The method includes recommending and sharing at least one piece of recommended information, which corresponds to the electronic information, to at least one second user according to a recommendation and/or sharing rule associated with the electronic information. The at least one second user is associated with the first user. The method further includes, when the at least one second user logs into a second terminal and performs a function based on the at least one piece of recommended information, sending at least one piece of content information to a database accessible by the first user according to the at least one piece of recommended information.

Abstract: Element rendering method and devices, a computer-readable storage medium, and a computer devices are disclosed. The method includes: acquiring at least one to-be-rendered element and a target display position corresponding to each to-be-rendered element; searching a locally stored element bitmap for each to-be-rendered element; if the to-be-rendered element is found from the element bitmap, determining an arrangement position of the to-be-rendered element in the element bitmap; otherwise, drawing the to-be-rendered element in an empty area, and determining an arrangement position of the drawn to-be-rendered element in the element bitmap; and triggering to render and display each to-be-rendered element at a corresponding target display position based on the element bitmap of each to-be-rendered element and the arrangement position of each to-be-rendered element in the element bitmap. The solution provided by this application can efficiently draw rendering elements.

Abstract: Embodiments of this disclosure include an encoding method and apparatus. The encoding may include obtaining a target paragraph and a context sentence of the target paragraph, and inputting the target paragraph and the context sentence into a memory encoding model. The encoding may further include obtaining an original vector set and a memory vector set in the input layer and obtaining a first target sentence matrix of the original vector set in the memory layer according to the original vector set and the memory vector set. The encoding may further include obtaining a paragraph vector of the target paragraph in the output layer according to the first target sentence matrix and performing processing based on the paragraph vector.