DEVICE AND METHOD FOR MULTI-TASK LEARNING AND A TESTING DEVICE AND TESTING METHOD USING SAME

    公开(公告)号:US20240312189A1

    公开(公告)日:2024-09-19

    申请号:US18244680

    申请日:2023-09-11

    摘要: A multi-task learning device includes a feature extraction layer that generates a first feature corresponding to a first image and a second feature corresponding to a second image; a first decoding layer that generates a first task inference result corresponding to the first image; a second decoding layer that generates a second task inference result corresponding to the second image; a first loss layer that generates a first task loss with reference to the first task inference result and a first task ground truth (GT) result corresponding to the first task inference result; a second loss layer that generates a second task loss with reference to the second task inference result and a second task GT result corresponding to the second task inference result; a feature loss layer that generates a feature loss with reference to the first feature and the second feature; and a parameter updater that updates parameters of at least some of the various layers.