Loading patent…
AssigneeNVIDIA Corporation
InventorsDong Yang, Daguang Xu, Fengze Liu, Yingda Xia
Estimating the term…
Comparison logic compares boundaries of features of or more images based, at least in part, on identifying boundaries and indication logic coupled to the comparison logic to indicate whether the boundaries differ by at least a first threshold. The boundaries might comprise a first label mask representing boundaries of objects in an image that are boundaries in a segmentation determined from a segmentation process and a second label mask from a shape evaluation process applied to the first label mask. The indication logic might be configured to compare the first label mask and the second label mask to determine a quality of the segmentation. A neural network might perform the segmentation. Shape evaluation using the first label mask as an input and the second label mask as an output might be performed by a variational autoencoder. A graphical processing unit (GPU) might be used for the segmentation and/or the autoencoder.
A processor, comprising:
A method, using a processor comprising one or more circuits, comprising causing one or more output boundaries of one or more objects within one or more images generated by one or more neural networks to be compared to one or more input boundaries of the one or more objects to the one or more neural networks.
A computer system comprising one or more processors and memory storing executable instructions that, as a result of being performed by the one or more processors, cause the computer system to cause one or more output boundaries of one or more objects within one or more images generated by one or more neural networks to be compared to one or more input boundaries of the one or more objects to the one or more neural networks.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause one or more output boundaries of one or more objects within one or more images generated by one or more neural networks to be compared to one or more input boundaries of the one or more objects to the one or more neural networks.
Dependencies are inferred from the claim text.