Utilizing a large-scale object detector to automatically select objects in digital images
AssigneeAdobe Inc.
InventorsKhoi Pham, Scott Cohen, Zhe Lin, Zhihong Ding, Walter Wei Tuh Chang
Life of this patent
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AssigneeAdobe Inc.
InventorsKhoi Pham, Scott Cohen, Zhe Lin, Zhihong Ding, Walter Wei Tuh Chang
Estimating the term…
The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image utilizing a large-scale object detector. For instance, in response to receiving a request to automatically select a query object with an unknown object class in a digital image, the object selection system can utilize a large-scale object detector to detect potential objects in the image, filter out one or more potential objects, and label the remaining potential objects in the image to detect the query object. In some implementations, the large-scale object detector utilizes a region proposal model, a concept mask model, and an auto tagging model to automatically detect objects in the digital image.
A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a computing device to:
In a digital medium environment for creating or editing digital images, a computer-implemented method of selecting query objects, comprising:
A system comprising:
Dependencies are inferred from the claim text.