US 2025/0148756 A1 · CLASSIFICATION APPARATUS, CLASSIFICATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Abstract

A classification apparatus acquires first input data being a first type of feature value and second input data being a second type of feature value for a classification target. The classification apparatus computes a first intermediate feature value from first input data, and computes a second intermediate feature value from second input data. The classification apparatus computes first attention data from the second intermediate feature value, and computes second attention data from the first intermediate feature value. The classification apparatus computes a first feature value from the first intermediate feature value and the first attention data, and computes a second feature value from the second intermediate feature value and the second attention data. The classification apparatus performs classification for a classification target by using the first feature value, the second feature value, or both of the first feature value and the second feature value.

Claims18

Dependent claims

A classification apparatus comprising:

at least one memory that is configured to store instructions;
and
at least one processor that is configured to execute the instructions to:
acquire, for a classification target, first data being a first type of feature value and second data being a second type of feature value;
compute a first intermediate feature value from the first data, and then further computing a first feature value by using the first intermediate feature value;
compute a second intermediate feature value from the second data, and then further computing a second feature value by using the second intermediate feature value;
perform classification regarding the classification target by using the first feature value, the second feature value, or both thereof;
and
compute first attention data by using the second intermediate feature value and computing second attention data by using the first intermediate feature value,
wherein the first feature value is computed by using the first intermediate feature value and the first attention data, and
wherein the second feature value is computed by using the second intermediate feature value and the second attention data.

8 more elements

A classification method executed by a computer, comprising:

acquiring, for a classification target, first data being a first type of feature value and second data being a second type of feature value,
computing a first intermediate feature value from the first data and then further computing a first feature value by using the first intermediate feature value;
computing a second intermediate feature value from the second data and then further computing a second feature value by using the second intermediate feature value;
performing classification regarding the classification target by using the first feature value, the second feature value, or both thereof;
and
computing first attention data by using the second intermediate feature value and computing second attention data by using the first intermediate feature value,
wherein the first feature value is computed by using the first intermediate feature value and the first attention data, and
wherein the second feature value is computed by using the second intermediate feature value and the second attention data.

5 more elements

A non-transitory computer-readable medium storing a program for causing a computer to execute:

acquiring, for a classification target, first data being a first type of feature value and second data being a second type of feature value for a classification target;
computing a first intermediate feature value from the first data and then further computing a first feature value by using the first intermediate feature value;
computing a second intermediate feature value from the second data and then further computing a second feature value by using the second intermediate feature value;
performing classification regarding the classification target by using the first feature value, the second feature value, or both thereof;
and
computing first attention data by using the second intermediate feature value and computing second attention data by using the first intermediate feature value,
wherein the first feature value is computed by using the first intermediate feature value and the first attention data, and
wherein the second feature value is computed by using the second intermediate feature value and the second attention data.

5 more elements

Dependencies are inferred from the claim text.

Classification apparatus, classification method, and non-transitory computer-readable medium

Life of this patent

Classification apparatus, classification method, and non-transitory computer-readable medium

Life of this patent

Abstract

Claims18