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US 2021/0201538 A1Published application
Static channel filtering in frequency domain
AssigneeAlibaba Group Holding Limited
InventorsKai Xu, Fei Sun, Minghai Qin, Yen-kuang Chen
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AssigneeAlibaba Group Holding Limited
InventorsKai Xu, Fei Sun, Minghai Qin, Yen-kuang Chen
Estimating the term…
Methods and systems are provided for implementing static channel filtering operations upon image datasets transformed to frequency domain representations, including decoding images of an image dataset to generate a frequency domain representation of the image dataset; discarding coefficient values of one or more particular frequency channels of each image of the image dataset in a frequency domain representation; and transporting the image dataset in a frequency domain representation to one or more special-purpose processor(s). Methods and systems of the present disclosure may enable a filtered image dataset to be input to a second layer of a learning model, bypassing a first layer, or may enable a learning model to be designed with a reduced-size first layer. This may achieve benefits such as reducing computational overhead and time of machine learning training and inference computations, reducing volume of image data input into the learning model, and reducing convergence time.
A method comprising:
A system comprising:
A computer-readable storage medium storing computer-readable instructions executable by one or more processors, that when executed by the one or more processors, cause the one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.