Domain adaptation for analysis of images

    公开(公告)号:US11113829B2

    公开(公告)日:2021-09-07

    申请号:US16545674

    申请日:2019-08-20

    Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

    DOMAIN ADAPTATION VIA CLASS-BALANCED SELF-TRAINING WITH SPATIAL PRIORS

    公开(公告)号:US20190130220A1

    公开(公告)日:2019-05-02

    申请号:US15949519

    申请日:2018-04-10

    Abstract: A vehicle, system and method of navigating a vehicle. The vehicle and system include a digital camera for capturing a target image of a target domain of the vehicle, and a processor. The processor is configured to: determine a target segmentation loss for training the neural network to perform semantic segmentation of a target image in a target domain, determine a value of a pseudo-label of the target image by reducing the target segmentation loss while providing aa supervision of the training over the target domain, perform semantic segmentation on the target image using the trained neural network to segment the target image and classify an object in the target image, and navigate the vehicle based on the classified object in the target image.

    DOMAIN ADAPTATION FOR ANALYSIS OF IMAGES

    公开(公告)号:US20210056718A1

    公开(公告)日:2021-02-25

    申请号:US16545674

    申请日:2019-08-20

    Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

Patent Agency Ranking