System and method for occluding contour detection
First Claim
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1. A system comprising:
- a data processor; and
an occluding object contour detection processing module, executable by the data processor, the occluding object contour detection processing module being configured to perform an occluding object contour detection operation using a fully convolutional neural network and dense upsampling convolution (DUC), the occluding object contour detection operation being configured to;
receive an input image;
produce a feature map from the input image by semantic segmentation;
apply a DUC operation on the feature map to produce contour information of objects and object instances detected in the input image; and
apply the contour information onto the input image.
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Abstract
A system method for occluding contour detection using a fully convolutional neural network is disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image by semantic segmentation; applying a Dense Upsampling Convolution (DUC) operation on the feature map to produce contour information of objects and object instances detected in the input image; and applying the contour information onto the input image.
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Citations
18 Claims
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1. A system comprising:
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a data processor; and an occluding object contour detection processing module, executable by the data processor, the occluding object contour detection processing module being configured to perform an occluding object contour detection operation using a fully convolutional neural network and dense upsampling convolution (DUC), the occluding object contour detection operation being configured to; receive an input image; produce a feature map from the input image by semantic segmentation; apply a DUC operation on the feature map to produce contour information of objects and object instances detected in the input image; and apply the contour information onto the input image. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method comprising:
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receiving an input image; producing a feature map from the input image by semantic segmentation; applying a Dense Upsampling Convolution (DUC) operation on the feature map to produce contour information of objects and object instances detected in the input image; and applying the contour information onto the input image. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A non-transitory machine-useable storage medium embodying instructions which, when executed by a machine, cause the machine to:
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receive an input image; produce a feature map from the input image by semantic segmentation; apply a DUC operation on the feature map to produce contour information of objects and object instances detected in the input image; and apply the contour information onto the input image. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification