3results about How to "Implement object detection" patented technology

This application discloses a method, apparatus, device, and medium for transferring a perception model, which facilitates the transfer from the source domain to the target domain in point cloud perception tasks, enables the reuse of point cloud data from the original perception model, and improves the generalization ability of the perception model for different application scenarios. The method for transferring a perception model provided in this application includes: transferring the point cloud data of the original perception model to the target perception model according to the application scenario information of the target perception model obtained, thereby obtaining a truth database of the target perception model, wherein the truth database includes point cloud and label information of the perceived target; and training the model based on the truth database of the target perception model to obtain the target perception model.

The application discloses a kind of robust DOA estimation methods based on sparse bayesian learning, belong to array signal processing field, the method of this application first introduces position error parameter, and determines the prior distribution of grid error and element position error, secondly with the aid of sparse bayesian learning model, establish joint probability density distribution function, finally with the aid of maximum expectation algorithm to each unknown parameter is iterated, obtains spatial spectrum diagram, estimates the direction of incident signal.This application method can better azimuth estimation accuracy and azimuth resolution, still have good performance under the condition of less snapshot, low signal-to-noise ratio, and the application method has good robustness to the array system that exists element position error, has greater engineering application value.

Embodiments of the present application disclose image detection methods, model training methods and devices, equipment, storage media and products. The image detection method comprises: obtaining a to-be-detected image and a query text, on the one hand, performing open-vocabulary object detection on the to-be-detected image based on the query text to obtain a set of object position indication information, and on the other hand, extracting global features of the to-be-detected image; then, according to the obtained global features and the set of object position indication information, local features of the to-be-detected image are extracted, and according to the global features, the local features and the query text, a target detection result of the query text in the to-be-detected image is obtained. It can be seen that by decoupling low-level positioning (obtaining the set of object position indication information) and high-level understanding (extracting global features), and performing open-vocabulary object detection on the to-be-detected image in the low-level positioning process, the object position indication information in the set of object position indication information can not be limited to fixed categories, thereby realizing target detection of the image.