Abstract: The present disclosure provides an image processing method. An image to be classified is input into a feature extraction model to generate N dimensional features. Dimension fusion is performed on M features of the N dimensional features to obtain M dimension fusion features. The image to be classified is processed based on M dimension fusion features and remaining features of the N dimensional features other than the M features.

Abstract: The present application discloses a method and an apparatus for acquiring sample deviation data and an electric device, which relate to the fields of artificial intelligence technology, automatic driving technology, intelligent transportation technology and deep learning technology. The specific implementation solution is: in case of acquiring the sample deviation data, a first driving behavior parameter of a vehicle and a second driving behavior parameter of the vehicle in a simulated automatic driving mode are respectively acquired in the manual driving mode; and it is determined whether there is a deviation between the first driving behavior parameter and the second driving behavior parameter, and if there is a deviation, the vehicle is controlled to acquire the sample deviation data within a preset time period.

Abstract: The present application relates to a method for indoor positioning, and an apparatus, an electronic device and a storage medium, which relates to the fields of positioning technologies and deep learning technologies. A specific implementation solution is: extracting descriptors of structure lines in a specified image collected by a terminal indoors; based on the descriptors of the structure lines in the specified image and descriptors of structure lines of images included in a pre-established indoor image database, acquiring, from the indoor image database, target structure line descriptors closest to the descriptors of the structure lines in the specified image; and acquiring pose information of the terminal based on a pre-established indoor 3D structure line map and the target structure line descriptors corresponding to the descriptors of the structure lines in the specified image.

Abstract: Provided are a navigation path planning method and apparatus, a device, and a storage medium. The navigation path planning method includes planning at least two available navigation paths for each target user of at least two target users in a target region; and determining a global passing feature of the target region and selecting, according to the global passing feature of the target region, one available navigation path from the at least two available navigation paths corresponding to each target user to serve as a recommended navigation path to be recommended to each target user.

Abstract: A method for training a lane line detection model includes: obtaining a plurality of road condition sample images and a plurality pieces of labeled lane line information corresponding to the plurality of road condition sample images; determining a plurality of elements corresponding to the plurality of road condition sample images and a plurality of element semantics corresponding to the plurality of elements; and obtaining the lane line detection model by training an initial artificial intelligence model based on the plurality of road condition sample images, the plurality of elements, the plurality of element semantics and the plurality pieces of labeled lane line information.

Abstract: A computer-implemented method is provided. The method includes: obtaining feature information of a molecule to be represented, wherein the molecule includes a plurality of atoms; generating a fully connected graph of the plurality of atoms, wherein the fully connected graph includes a plurality of edges; generating, based on the feature information, a plurality of atom vector representations and a plurality of edge vector representations, wherein the plurality of atom vector representations correspond to the plurality of atoms, respectively, and the plurality of edge vector representations correspond to the plurality of edges, respectively; performing, based on the fully connected graph, at least one aggregation on the plurality of atom vector representations and the plurality of edge vector representations to obtain a plurality of updated atom vector representations; and generating, based on the plurality of updated atom vector representations, a molecular vector representation of the molecule.

Abstract: Provided are a method for adjusting a three-dimensional pose, an electronic device, and a storage medium, relates to the field of artificial intelligence, and specifically to computer vision and deep learning technologies. A specific implementation solution includes acquiring a video currently recorded; estimating multiple two-dimensional key points of a virtual three-dimensional model and an initial three-dimensional pose based on multiple image frames; performing contact detection on a target part of the virtual three-dimensional model by using the multiple two-dimensional key points, to obtain a detection result; determining multiple target three-dimensional key points by means of the detection result and multiple initial three-dimensional key points corresponding to the initial three-dimensional pose; and adjusting the initial three-dimensional pose to a target three-dimensional pose by using the multiple initial three-dimensional key points and the multiple target three-dimensional key points.

Abstract: The present disclosure provides a method for processing a video, an electronic device, and a storage medium. A specific implementation solution includes: generating a first three-dimensional movement trajectory of a virtual three-dimensional model in world space based on attribute information of a target contact surface of the virtual three-dimensional model in the world space; converting the first three-dimensional movement trajectory into a second three-dimensional movement trajectory in camera space, where the camera space is three-dimensional space for shooting an initial video; determining a movement sequence of the virtual three-dimensional model in the camera space according to the second three-dimensional movement trajectory; and compositing the virtual three-dimensional model and the initial video by means of texture information of the virtual three-dimensional model and the movement sequence, to obtain a to-be-played target video.

Abstract: An information search method and apparatus, a device and a storage medium, relating to fields of intelligent search, intelligent recommendation, deep learning and the like. A specific implementation includes: determining feature information of a target user; acquiring at least one candidate search path to determine candidate search results in a database; determining a matching degree between the feature information of the target user and the at least one candidate search path using a matching model, and determining a target search path from the candidate search paths according to the matching degree; and determining a target search result matched with the target user using the target search path.

Abstract: A map displaying method, an electronic device, a storage medium and a terminal device are provided, and relate to the technical fields of computer vision and intelligent transportation. The method includes: receiving a trigger operation in a case that a terminal device displays a map of a first area, and determining a screen coordinate of the trigger point, where the map of the first area is a map where a first position is at a center area; determining a coordinate of a ground projection point corresponding to the trigger point based on the screen coordinate of the trigger point; switching a currently displayed map of the first area to a map of a second area, in a case that the ground projection point falls within the first area, wherein the map of the second area is a map where the ground projection point is at a center area.

Abstract: The present application discloses a method and an apparatus for information query, and an electronic device, which relates to a field of deep learning (DL), natural language processing (NLP) and artificial intelligence (AI) technology. The method includes: receiving a query sentence, segmenting the query sentence to obtain word segments, and obtaining a dependency relationship between two word segments and part of speech of the word segments; obtaining a coding sequence of the query sentence according to the dependency relationship and the part of speech of the word segments; matching the coding sequence with a generalized template to obtain a core corpus of the query sentence, wherein the generalized template comprises part of speech to be extracted and a dependency relationship to be extracted; and obtaining a query result corresponding to the query sentence based on the core corpus.

Abstract: Embodiments of a method and apparatus for generating a virtual avatar, a device and a storage medium are provided. The method may include: determining a template coefficient of a target face in a to-be-processed image based on at least two real face feature templates; and determining a virtual avatar of the target face according to the template coefficient and at least two virtual face feature templates associated with the at least two real face feature templates.

Abstract: A positioning method includes acquiring an image of an area where a target object is located at a first time instant and multiple frames of point cloud data of an area where the target object is located at multiple time instants, wherein the multiple frames of point cloud data include first point cloud data of the area where the target object is located at the first time instant. The method also includes determining a point cloud map according to the multiple frames of point cloud data and acquiring a target feature vector according to the first point cloud data, the point cloud map and the image. The method further includes determining a positioning result of the target object according to the target feature vector.

Abstract: A method for forwarding data, a load balancing device, a computer readable storage medium, and a data transmission system. An implementation of the method includes: obtaining a data packet sent by a client, and extracting an actual session parameter from the data packet; in response to the actual session parameter being an unrecorded session parameter, reading information from a preset field address constituting a packet header of the data packet; wherein a preset field corresponding to the preset field address is configured to record information used to determine a target server parameter; in response to determining that the information read from the preset field address is not empty, determining, based on target information read from the preset field address, the target server parameter as a client communication object; and forwarding the data packet to a target server corresponding to the target server parameter.

Abstract: The present application discloses a face super-resolution realization method and apparatus, an electronic device and a storage medium, and relate to fields of face image processing and deep learning. The specific implementation solution is as follows: a face part in a first image is extracted; the face part is input into a pre-trained face super-resolution model to obtain a super-sharp face image; a semantic segmentation image corresponding to the super-sharp face image is acquired; and the face part in the first image is replaced with the super-sharp face image, by utilizing the semantic segmentation image, to obtain a face super-resolution image.

Abstract: A method and an apparatus for verifying an operation state of an application are provided. The method can include setting target verification operation information according to an operation verification item of an application to be verified; setting a verification process instruction for the target verification operation information; encapsulating the verification operation information and the verification process instruction as fault injection data, and sending the fault injection data to a data input port of the application to be verified; matching the process feedback information with the verification process instruction in response to receiving the process feedback information corresponding to the fault injection data, and determining executed target verification operation information.

Abstract: The present disclosure discloses a task processing method and a distributed computing framework. A specific embodiment of the method includes: parsing an expression corresponding to a distributed computing task, and constructing task description information corresponding to the distributed computing task, the task description information being used to describe a corresponding relationship between an operator and a distributed dataset, and the operator acting on at least one of the distributed dataset or distributed datasets obtained by grouping the distributed dataset; determining, based on the task description information, a distributed dataset the operator acting on; and performing distributed computing on the distributed dataset the operator acting on using the operator. In the distributed computing, the acting scope and nesting relationship of the operator is described by constructing a topology.

Abstract: The present disclosure provides a database-based management method, platform, electronic device and storage medium, which relates to the technical field of databases and may be used for a cloud computing scenario. A specific implementation solution is as follows: monitoring a plurality of nodes through which an application accesses a corresponding database cluster based on pre-built management information of the corresponding database cluster of the application; when an abnormal node appears in the plurality of nodes, sending a node creation request carrying information of the abnormal node to a task management platform, to create an alternative node with the same function to replace the abnormal node; receiving information of the created alternative node returned from the task management platform; updating the management information of the database cluster of the application based on the information of the alternative node and the information of the abnormal node.

Abstract: The present disclosure provides a search method, an electronic device and a storage medium, and belongs to a technical field of the Internet. The method includes: determining a first set of features corresponding to an original search statement by parsing the original search statement; obtaining each initial search result corresponding to the original search statement; determining a second set of features corresponding to an initial search result by parsing a title of the initial search result; determining a rewritten search statement corresponding to the original search statement and the initial search result by codecing the first set of features and the second set of features; and obtaining a supplementary search result corresponding to the rewritten search statement.

Abstract: A method, an apparatus, an electronic device and a computer readable storage medium for adjusting an instance number are provided. The method includes: acquiring an actual performance index of a current time window; determining a theoretical instance number corresponding to the actual performance index; and in response to the theoretical instance number being greater than an instance creating upper limit of a current edge computing node, requesting another edge computing node having an instance addition capability to jointly create an instance of a total number equal to the theoretical instance number.