Abstract: The present application relates to an object prediction method and apparatus, an electronic device, and a storage medium. The method is applied to a neural network and includes: performing feature extraction processing on a to-be-predicted object to obtain feature information of the to-be-predicted object; determining multiple intermediate prediction results for the to-be-predicted object according to the feature information; performing fusion processing on the multiple intermediate prediction results to obtain fusion information; and determining multiple target prediction results for the to-be-predicted object according to the fusion information.

Abstract: The application relates to a method and system for tracking a target object in a video. The method includes: extracting, from the video, a 3-dimension (3D) feature block containing the target object; decomposing the extracted 3D feature block into a 2-dimension (2D) spatial feature map containing spatial information of the target object and a 2D spatial-temporal feature map containing spatial-temporal information of the target object; estimating, in the 2D spatial feature map, a location of the target object; determining, in the 2D spatial-temporal feature map, a speed and an acceleration of the target object; calibrating the estimated location of the target object according to the determined speed and acceleration; and tracking the target object in the video according to the calibrated location.

Abstract: A method for predicting walking behaviors includes: encoding walking behavior information of at least one target object in a target scene within a historical time period M to obtain a first offset matrix for representing the walking behavior information of the at least one target object within the historical time period M; inputting the first offset matrix into a neural network, and outputting by the neural network a second offset matrix for representing walking behavior information of the at least one target object within a future time period M?; and decoding the second offset matrix to obtain the walking behavior prediction information of the at least one target object within the future time period M?.

Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.

Abstract: A vegetable oil-based cartilage bionic cushioning and shock-absorbing material, and a preparation method and use thereof, is provided. The vegetable oil-based cartilage bionic cushioning and shock-absorbing material is prepared from a premix A and an isocyanate mixture B; the premix A including a vegetable oil-based modified polyol, a type 1 polyether polyol, a type 2 polyether polyol, a polymer polyol, a surfactant, a foaming agent, a chain extender, a catalyst and a cell regulator; the type 1 polyether polyol is a polyether polyol with a molecular weight of 400-1000 and a hydroxyl value of 110-280 mgKOH/g; and the type 2 polyether polyol is a polyether polyol with a molecular weight of 1000-10000 and a hydroxyl value of 25-56 mg KOH/g. The material provided by the present invention is environment-friendly and breathable with open cells, and has a high cushioning effect and a low permanent compression set value.

Abstract: Target matching method and apparatus, electronic device, and storage medium, including: extracting feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining self-expression feature vector of query image sequence, collaborative expression feature vector of the query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence based on feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining similarity feature vector between query image sequence and candidate image sequence based on self-expression feature vector of query image sequence, collaborative expression feature vector of query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence; and determining matching result between query image sequen

Abstract: A method and apparatus for positioning a description statement in an image includes: analyzing a to-be-analyzed description statement and a to-be-analyzed image to obtain a plurality of statement attention weights of the to-be-analyzed description statement and a plurality of image attention weights of the to-be-analyzed image; obtaining a plurality of first matching scores based on the plurality of statement attention weights and a subject feature, a location feature and a relationship feature of the to-be-analyzed image; obtaining a second matching score between the to-be-analyzed description statement and the to-be-analyzed image based on the plurality of first matching scores and the plurality of image attention weights; and determining a positioning result of the to-be-analyzed description statement in the to-be-analyzed image based on the second matching score.

Abstract: An electrical machine includes an electric motor, a cooling jacket over the electric motor, and a power inverter having multiple AC power outlets. The electrical machine also includes an elongated busbar having an end adjacent to and coupled to an AC power outlet. The other end of the elongated busbar is adjacent to and coupled to the electric motor. The elongated busbar traverses from one end of the electric motor to a second end of the electric motor over, and in thermal contact with, the cooling jacket so as to reduce a high temperature at the electric motor to a low temperature at the AC power outlet.

Abstract: An image question answering method includes: extracting a question feature representing a semantic meaning of a question, a global feature of an image, and a detection frame feature of a detection frame encircling an object in the image; obtaining a first weight of each of at least one area of the image and a second weight of each of at least one detection frame of the image according to question feature, global feature, and detection frame feature; performing weighting processing on global feature by using first weight to obtain an area attention feature of image; performing weighting processing on detection frame feature by using second weight to obtain a detection frame attention feature of image; and predicting an answer to question according to question feature, area attention feature, and detection frame attention feature.

Abstract: Disclosed is a co-segmentation method and apparatus for a three-dimensional model set, which includes: obtaining a super patch set for the three-dimensional model set which includes at least two three-dimensional models, each of the three-dimensional models including at least two super patches; obtaining a consistent affinity propagation model according to a first predefined condition and a conventional affinity propagation model, the consistent affinity propagation model being constraint by the first predefined condition which is position information for at least two super patches that are in the super patch set and belong to a common three-dimensional model set; converting the consistent affinity propagation model into a consistent convergence affinity propagation model; clustering the super patch set through the consistent convergence affinity propagation model to generate a co-segmentation outcome for the three-dimensional model set.

Abstract: A locked coil wire rope includes a circular steel wire inner layer, a central metal core, and a Z-shaped steel wire outer layer. The central metal core has a structure of 1×19W, 1×19S, 1×26WS, 1×31WS, 1×31SW, 1×49SWS or 1×55SWS. The circular steel inner layer includes at least two circular steel wire layers, and a number of steel wires of circular steel wire layer is no less than 18. The Z-shaped steel wire outer layer includes at least one Z-shaped steel wire layer, and a number of steel wires of the Z-shaped steel wire layer is no less than 51. A capacity expansion framework is further disclosed.

Abstract: A pedestrian re-identification method includes: obtaining a target video containing a target pedestrian and at least one candidate video; encoding each target video segment in the target video and each candidate video segment in the at least one candidate segment separately; determining a score of similarity between the each target video segment and the each candidate video segment according to encoding results, the score of similarity being used for representing a degree of similarity between pedestrian features in the target video segment and the candidate video segment; and performing pedestrian re-identification on the at least one candidate video according to the score of similarity.

Abstract: A locked coil wire rope includes a circular steel wire inner layer, a central metal core, and a Z-shaped steel wire outer layer. The central metal core has a structure of 1×19W, 1×19S, 1×26WS, 1×31WS, 1×31SW, 1×49SWS or 1×55SWS. The circular steel inner layer includes at least two circular steel wire layers, and a number of steel wires of circular steel wire layer is no less than 18. The Z-shaped steel wire outer layer includes at least one Z-shaped steel wire layer, and a number of steel wires of the Z-shaped steel wire layer is no less than 51. A capacity expansion framework is further disclosed.

Abstract: A command request may be made to create a new entity in a data storage system. The new entity may be depend upon one or more base objects required to exist prior to creating the new entity. The command request may be processed in accordance with a selected policy affecting the required base objects. The selected policy may be one of a defined set of policies affecting actions taken with respect to the required base objects and new entity. For example, the policies may provide for automatically creating the required base objects and new entity; automatically selecting existing base objects used to create the new entity; generating a command list of recommend commands for creating the required base objects and the new entity; and generating a recommend list of existing base objects and a command for creating the new entity using at least one of the existing base objects.

Abstract: Embodiments of the present disclosure provide methods and apparatuses for vehicle appearance feature recognition, methods and apparatuses for vehicle retrieval, storage media, and electronic devices. The method for vehicle appearance feature recognition includes: obtaining multiple region segmentation results of a target vehicle from an image to be recognized; extracting global feature data and multiple pieces of region feature data from the image to be recognized based on the multiple region segmentation results; and fusing the global feature data and the multiple pieces of region feature data to obtain appearance feature data of the target vehicle.

Abstract: Disclosed are methods for object tracking. In an example, the method comprises: determining a region of interest (ROI) in a first frame of a video sequences; feeding the determined ROI forward through a first CNN (convolutional network) to obtain a plurality of first feature maps in a higher layer of the CNN and a plurality of second feature maps in a lower layer of the first CNN; selecting a plurality of feature maps from the first and second feature maps, respectively; predicting, based on the selected first and second feature maps, two target heat maps indicating a target location for said objects in the current frame, respectively; and estimating, based on the two predicated target heat maps, a final target location for the object in the current frame.

Abstract: A vehicle lamp detection method includes: obtaining an image block including an image of a vehicle; and performing vehicle lamp detection on the image block by means of a deep neural network, to obtain a vehicle lamp detection result.

Abstract: Dynamic security code speech-based identity authentication system and method having self-learning function, being equipped with: a time-varying data storage unit for storing speech data of each user with time labels; a time-varying data update module (23) for storing the latest speech data into the time-varying data storage unit; a time window channel construction module (24) for extracting speech data from the time-varying data storage unit in the order of the time labels, constructing and updating the time window channel comprising multiple sets of speech data; a voiceprint model reconstruction module (25) reconstructing the user voiceprint model by using the multiple sets of speech data comprised in the updated time window channel.

Abstract: An advanced monitoring device and an implementation method for a whole-process deformation curve of a surrounding rock during tunnel excavation is disclosed, comprising a steel pipe elastic body, a cathetometer structure and an embedded optical fiber, and an implementation step; the cathetometer is an equidistant series structure, and fixed in the steel pipe; the embedded optical fiber is encapsulated in the surface slot of the steel pipe; the cathetometer and the embedded optical fiber and the steel pipe form a deformation coordination structure, and the deformation of the surrounding rock can be deduced by calculating the variation of the cathetometer and the deformation of the optical fiber. The invention can test and calculate the deformation curve of the surrounding rock in front of the excavation face during tunnel excavation, and provide support for engineering dynamic design, construction and safety.

Abstract: A method for identifying a target, a non-transitory computer-readable storage medium, and an electronic device include: acquiring a first image and a second image, the first image and the second image each including a target to be determined; generating a prediction path based on the first image and the second image, both ends of the prediction path respectively corresponding to the first image and the second image; and performing validity determination on the prediction path and determining, according to a determination result, whether the targets to be determined in the first image and the second image are the same target to be determined.