7 results about "Point correspondence" patented technology

In an example method of training a neural network for performing visual odometry, the neural network receives a plurality of images of an environment, determines, for each image, a respective set of interest points and a respective descriptor, and determines a correspondence between the plurality of images. Determining the correspondence includes determining one or point correspondences between the sets of interest points, and determining a set of candidate interest points based on the one or more point correspondences, each candidate interest point indicating a respective feature in the environment in three-dimensional space). The neural network determines, for each candidate interest point, a respective stability metric and a respective stability metric. The neural network is modified based on the one or more candidate interest points.

The method comprises the following steps: obtaining a set of points based on historical information corresponding to a target object; extracting a plurality of sets of sentences from at least one explanation text corresponding to the target object based on the plurality of points in the set of points; determining a plurality of weight values corresponding to the plurality of points based on a user portrait corresponding to a target user, and determining the order of the plurality of points based on the weight values; sorting the sets of sentences corresponding to the plurality of points of the target object in the order to obtain a description text corresponding to the target user of the target object; and obtaining a long text through the extracted sets of sentences, and determining the order of the sets of sentences based on the weight values determined based on the user portrait, thereby enhancing the interaction with the user and realizing personalized generation of the corresponding description text for the target user.

The embodiment of the invention discloses a point location recommendation method and device and electronic equipment, and the method comprises the steps: obtaining a target location, responding to the target location as a low-heat location, obtaining the getting-on and getting-off data and track information corresponding to the target location, and recalling at least one recommendation point location according to the getting-on and getting-off data and track information of the target location. And controlling a point position recall page of the user terminal to display at least one recommended point position. Therefore, according to the embodiment of the invention, when the target location is the low-heat location with insufficient historical data, the boarding and alighting points can be intercommunicated and used, and the track information is used as supplementary information to carry out point location recall, so that the number of recallable point locations is enriched, the point location recommendation accuracy of the low-heat location is improved, and the user experience is further improved.

The invention relates to the technical field of software intelligent evaluation, in particular to an intelligent evaluation method and system for WPS operation questions. According to the scheme, firstly, the target document of the answering interface is obtained, the target document is the answering document of the examinee, then, the answering information of the examinee in the target document is extracted, each index point in the answering information is evaluated according to the preset scoring index point information, then, the corresponding evaluation results are output respectively, and finally, the evaluation results are output. According to the evaluation result, the corresponding index points are scored, a score corresponding to each index point is obtained, and the scores are displayed at the corresponding positions of the answer interface, so that intelligent evaluation of the WPS operation questions is completed. By the adoption of the scheme, answering and evaluation can be carried out synchronously, a WPS document submitted by an examinee does not need to be independently opened subsequently for analysis and evaluation, the scoring accuracy can be improved, the evaluation efficiency can be improved, and the investment of labor cost is effectively reduced.

This invention discloses a point-of-interest recommendation method, apparatus, electronic device, and storage medium. The method includes: acquiring a user's current captured image information; comparing the user's captured image with multiple file information in a reference file set to determine the target file information corresponding to the user's captured image; determining a corresponding trip frequency matrix based on the target file information and the current point-of-interest information; the target file information includes captured image information of the user at multiple trip points, and the trip frequency matrix describes the number of times the user appears at each trip point at different times, with pre-calculated distance similarity and time similarity between multiple trip points; determining target interest points based on the trip frequency matrix, and recommending points of interest based on the target interest points. This makes the point-of-interest recommendation significantly more reasonable, capable of addressing user interest needs at different times and locations, and improving the accuracy and recall of the recommendation.

The application discloses an image prompt propagation method, which comprises the following steps: step 1, initializing an anchor point set according to a user-provided prompt and a template picture; step 2, using an enhanced point correspondence method to transfer the anchor point from the template to pictures in a sequence except the template; step 3, for each picture, selecting a prompt point from the anchor point corresponding to the picture and inputting the picture and the prompt point into a SAM for prompt selection analysis; and step 4, evaluating the prompt selection result, directly outputting if the result meets the requirement, or reselecting a more suitable prompt. The application does not need to be trained for different scenes, can directly obtain prompts in a large number of pictures for understanding the pictures, has strong adaptability, can adapt to any new technology generated along with the continuous development of a basic AI model, thereby realizing continuous performance improvement, and can be extended to other visual basic models needing prompts.