公开(公告)号：US11972604B2

公开(公告)日：2024-04-30

申请号：US17283199

申请日：2020-03-11

申请人： SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

发明人： Shuqiang Wang ,  Wen Yu ,  Chenchen Xiao ,  Shengye Hu ,  Yanyan Shen

IPC分类号： G06V10/82 ,  G06V10/774

CPC分类号： G06V10/82 ,  G06V10/7747

摘要： An image feature visualization method and apparatus, and an electronic device during model training, inputs the real training data with positive samples into a mapping generator to obtain fictitious training data with negative samples. The mapping generator includes a mapping module configured to learn a key feature map that distinguishes the real training data with positive samples/negative samples, and the fictitious training data with negative samples is generated based on the real training data with positive samples and the key feature map. The training data with negative samples is input into a discriminator to obtain a discrimination result. An optimizer optimizes the mapping generator and the discriminator until training is completed. During model application, a target image that is to be processed is input into the mapping generator, and the mapper in the mapping generator extracts features of the target image.

公开(公告)号：US12093833B2

公开(公告)日：2024-09-17

申请号：US17549258

申请日：2021-12-13

申请人： Shenzhen Institutes of Advanced Technology

发明人： Shuqiang Wang ,  Wen Yu ,  Chenchen Xiao ,  Shengye Hu

IPC分类号： G06V10/32 ,  G06N3/088 ,  G06T7/00 ,  G06V10/26 ,  G06V10/34 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC分类号： G06N3/088 ,  G06T7/0012 ,  G06V10/267 ,  G06V10/32 ,  G06V10/34 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016

摘要： A visualization method for evaluating brain addiction traits, an apparatus, and a computer-readable storage medium are provided. The method includes the following. A visualization processing request is received from a client, where the visual processing request contains an image to-be-processed. The image to-be-processed is masked to obtain a perturbation image masked. The perturbation image is classified with a visualization processing model to obtain a classification result, and the classification result is calculated to obtain an evaluation value of the perturbation image, where the evaluation value of the perturbation image is less than an evaluation value of the image to-be-processed without masking. The visualization evaluation result is determined according to the evaluation value of the perturbation image. The visualization evaluation result is sent to the client.