Visual recognition using deep learning attributes
AssigneeIntel Corporation
InventorsJianguo Li, Yurong Chen, Jianwei Luo
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AssigneeIntel Corporation
InventorsJianguo Li, Yurong Chen, Jianwei Luo
Estimating the term…
A processing device for performing visual recognition using deep learning attributes and method for performing the same are described. In one embodiment, a processing device comprises: an interface to receive an input image; and a recognition unit coupled to the interface and operable to perform visual object recognition on the input image, where the recognition unit has an extractor to extract region proposals from the input image, a convolutional neural network (CNN) to compute features for each extracted region proposal, the CNN being operable to create a soft-max layer output, a cross region pooling unit operable to perform pooling of the soft-max layer output to create a set of attributes of the input image, and an image classifier operable to perform image classification based on the attributes of the input image.
A processing device, the processing device comprising:
A method for performing visual object recognition on an input image, the method comprising:
An article of manufacture having one or more non-transitory computer readable media storing instructions which, when executed by a system, cause the system to perform a method comprising:
Dependencies are inferred from the claim text.