Please select the most similar patent number from A, B, C and D. Which number is?
The present invention relates to an information processing method and apparatus, an electronic device, and a computer-readable storage medium. The method comprises: obtaining a plurality of pieces of target information and a plurality of pieces of first association information, wherein the plurality of pieces of target information respectively correspond to a plurality of targets, and the first association information is used to indicate at least one of interaction and similarity between two different targets; respectively extracting a plurality of target features of the plurality of pieces of target information and a plurality of association features of the plurality of pieces of first association information; and determining a prediction result of the interaction between a first target and a second target on the basis of the plurality of target features and the plurality of association features, wherein the first target comprises a target belonging to a first category, the second target comprises a target belonging to a second category, and there is no first association information between the first target and the second target. According to the present invention, the accuracy of the prediction result of the interaction can be improved.
A: A defect detection method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring a first feature map of a template image, and a second feature map of an image to be subjected to detection (S101); for each first feature point in the first feature map, determining, from a plurality of first feature points in the first feature map, a plurality of associated feature points, the distance between which and the first feature point satisfies a pre-set condition (S102); for each first feature point, on the basis of the similarity between each determined associated feature point of the first feature point and a target second feature point in the second feature map, performing feature enhancement processing on the first feature point, wherein the target second feature point is a second feature point, the position of which matches the first feature point, in the second feature map (S103); and on the basis of the second feature map, and the first feature map which has been subjected to feature enhancement processing, determining a defect detection result corresponding to said image (S104).
B: Provided are a key point detection method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring an image to be subjected to detection; on the basis of said image, generating an image feature map and a plurality of key point heat maps, wherein the image feature map is used for representing a relative position relationship between target objects in said image, each of the key point heat maps includes key points of one type in said image, and key points of different types correspond to different parts of the target objects; on the basis of the image feature map and the plurality of key point heat maps, generating an initial key point map model, wherein the initial key point map model includes information of the key points of different types in said image and information of connecting edges, and each connecting edge is an edge between two key points of different types; and carrying out connecting edge pruning processing on the initial key point map model a plurality of times until a plurality of key points in the processed key point map model are clustered into a plurality of clusters, so as to obtain information of key points that respectively belongs to each target object.
C: Methods for determining interaction information and for training a prediction model, an apparatus, and a medium. The method for determining interaction information comprises: acquiring basic information of a first target, basic information of a second target, and a target interaction information prediction model, wherein the target interaction information prediction model is obtained by means of training a global loss function and a key local loss function (201); and processing, by calling the target interaction information prediction model, the basic information of the first target and the basic information of the second target to obtain target interaction information for the first target and the second target (202). On the basis of the above process, the training process of the interaction information prediction model considers both global information and key local information, thereby improving the training effect of the interaction information prediction model, and enhancing the accuracy of determined interaction information for a first target object and a second target object.
D: Provided are a target tracking method and device, and a storage medium and a computer program. The method comprises: acquiring multiple scene images corresponding to the same scene; performing feature extraction processing and target part detection on each of the multiple scene images to obtain feature information of each scene image and positions of multiple target parts on each scene image; acquiring target feature information respectively corresponding to the positions of the multiple target parts in the feature information of each scene image; and determining, according to the acquired target feature information respectively corresponding to the positions of the multiple target parts, multiple same targets appearing on the multiple scene images, wherein each scene image comprises some or all of the multiple same targets.
Answer: C