METHOD FOR TRAINING IMAGE RECOGNITION MODEL BASED ON SEMANTIC ENHANCEMENT

    公开(公告)号:US20220392205A1

    公开(公告)日:2022-12-08

    申请号:US17892669

    申请日:2022-08-22

    Abstract: Embodiments of the present disclosure provide a method and apparatus for training an image recognition model based on a semantic enhancement, a method and apparatus for recognizing an image, an electronic device, and a computer readable storage medium. The method for training an image recognition model based on a semantic enhancement comprises: extracting, from an inputted first image being unannotated and having no textual description, a first feature representation of the first image; calculating a first loss function based on the first feature representation; extracting, from an inputted second image being unannotated and having an original textual description, a second feature representation of the second image; calculating a second loss function based on the second feature representation, and training an image recognition model based on a fusion of the first loss function and the second loss function.

Patent Agency Ranking