Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to determine a first feature map and a first confidence map from a ground view image with a first neural network. First feature points can be determined based on the first feature map and the confidence map. First three-dimensional (3D) feature locations of the first features can be determined based on the first features and the first confidence map. A second feature map and a second confidence map can be determined from an aerial-view image with a second neural network. Second 3D feature locations can be based on the first 3D features, the second feature map and the second confidence map. A three degree-of-freedom (DoF) pose of a ground view camera in global coordinates can be determined by iteratively determining geometric correspondence between the first and second 3D feature locations.

Abstract: Provided is an EGFR kinase inhibitor according to general formula (I) and a pharmaceutical composition containing the inhibitor. The invention can be used to treat diseases related to EGFR kinase, such as cancer. Also provided is a preparation and use of the above inhibitor.

Abstract: A new compound of general formula (X) inhibiting and inducing degradation of an EGFR and ALK, and a pharmaceutical composition containing said compound. The compound and the pharmaceutical composition can be used for treating diseases related to the EGFR and the ALK kinase, such as cancer. The present invention further provides the preparation and use of the compound.

Abstract: Presenting information on similar objects relative to a target object is disclosed, including: obtaining a plurality of video frames; determining a target object in the plurality of video frames using a tracking recognition technique; determining time slice information corresponding to the target object; using the time slice information corresponding to the target object to determine one or more similar objects relative to the target object; receiving an indication to present information on the one or more similar objects relative to the target object; and outputting the information on the one or more similar objects relative to the target object.

Abstract: A prediction method, apparatus, and system for performing an image search is disclosed in the disclosure. In one embodiment, a method comprises: performing training in which domain adaptation learning is performed by using a source domain model to obtain a target domain model, wherein the source domain model comprises at least two network models, and the network models respectively correspond to different commodity categories; and setting an image under search and sample sets of commodities of a plurality of categories as input parameters for the target domain model to obtain a prediction result corresponding to the image. The disclosure solves the technical problem of inaccurate prediction in the process of using category prediction methods to perform a prediction on an image in current systems.

Abstract: Presenting information on similar objects relative to a target object is disclosed, including: obtaining a plurality of video frames; determining a target object in the plurality of video frames using a tracking recognition technique; determining time slice information corresponding to the target object; using the time slice information corresponding to the target object to determine one or more similar objects relative to the target object; receiving an indication to present information on the one or more similar objects relative to the target object; and outputting the information on the one or more similar objects relative to the target object.