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US 2020/0394458 A1Published application
Weakly-supervised object detection using one or more neural networks
AssigneeNVIDIA Corporation
InventorsZhiding Yu, Jason Ren, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
Life of this patent
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Abstract
Apparatuses, systems, and techniques to detect object in images including digital representations of those objects. In at least one embodiment, one or more objects are detected in an image based, at least in part, on one or more pseudo-labels corresponding to said one or more objects.
Claims30
A processor, comprising:
- one or more arithmetic logic units (ALUs) to help detect one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects.
A system comprising:
- one or more processors to be configured to detect, using one or more neural networks, one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects;
- and
- one or more memories to store the one or more neural networks.
A processor comprising:
- one or more arithmetic logic units (ALUs) to help train one or more neural networks to be used to detect one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects.
A system comprising:
- one or more processors to help train one or more neural networks to be used to detect one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects.
A method comprising:
- training one or more neural networks to detect one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects.
A system, comprising:
- a camera configured to capture an image;
- one or more processors to be configured to detect, using one or more neural networks, one or more objects in the image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects;
- and
- a storage device to store information regarding the detected objects.
1 more element
Dependencies are inferred from the claim text.