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AssigneeMicrosoft Technology Licensing, LLC
InventorsYinpeng CHEN, Xiyang DAI, Mengchen LIU, Dongdong CHEN, Lu YUAN, Zicheng LIU, Ye YU, Mei CHEN, Yunsheng LI
Estimating the term…
A computer device for automatic feature detection comprises a processor, a communication device, and a memory configured to hold instructions executable by the processor to instantiate a dynamic convolution neural network, receive input data via the communication network, and execute the dynamic convolution neural network to automatically detect features in the input data. The dynamic convolution neural network compresses the input data from an input space having a dimensionality equal to a predetermined number of channels into an intermediate space having a dimensionality less than the number of channels. The dynamic convolution neural network dynamically fuses the channels into an intermediate representation within the intermediate space and expands the intermediate representation from the intermediate space to an expanded representation in an output space having a higher dimensionality than the dimensionality of the intermediate space. The features in the input data are automatically detected based on the expanded representation.
A computer system for automatic feature detection, comprising:
A method of computer-detecting features in an image, comprising:
A method of computer-detecting features in input data, comprising:
Dependencies are inferred from the claim text.