Performance improvements of machine vision tasks via learned neural network based filter

Abstract

A method includes receiving auxiliary information and/or at least one auxiliary feature, the at least one auxiliary feature being based on the auxiliary information; wherein the auxiliary information comprises information available within a decoder, or the auxiliary information comprises a bitstream output from data encoded using an encoder; receiving decoded data generated using the decoder; and generating filtered data with at least one filter using the auxiliary information and/or the at least one auxiliary feature via applying the filter to the decoded data; wherein the at least one filter comprises a learned filter; wherein the filtered data is configured to be used for at least one machine task performed using a model.