US 12,469,270 B2
Inference device, inference method, and a non-transitory computer-readable medium
Tomoya Sawada, Tokyo (JP)
Assigned to MITSUBISHI ELECTRIC CORPORATION, Tokyo (JP)
Appl. No. 18/028,995
Filed by Mitsubishi Electric Corporation, Tokyo (JP)
PCT Filed Aug. 2, 2022, PCT No. PCT/JP2022/029597
§ 371(c)(1), (2) Date Mar. 28, 2023,
PCT Pub. No. WO2023/074075, PCT Pub. Date May 4, 2023.
Prior Publication US 2024/0362901 A1, Oct. 31, 2024
Int. Cl. G06V 10/82 (2022.01); G06V 10/22 (2022.01); G06V 10/62 (2022.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/96 (2022.01)
CPC G06V 10/82 (2022.01) [G06V 10/22 (2022.01); G06V 10/62 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/96 (2022.01)] 9 Claims
OG exemplary drawing
 
1. An inference device comprising: processing circuitry
an image signal acquiring unit to acquire an image signal indicating an inference target image that is an image in which a detection target object appears in a case where one or more of a condition that a domain of the inference target image is different from a domain of a training image and a condition that a recognition task of the inference target image is different from a pre-learned task are satisfied,
to provide the image signal to a learning model in which learning of the training image has been completed, and acquire, from the learning model, an inference time feature amount that is obtained by combining a plurality of feature amounts of the detection target object appearing in the inference target image after each of the plurality of feature amounts is blurred, and
to recognize the detection target object appearing in the inference target image on a basis of a representative feature amount that is a registered feature amount of the detection target object appearing in an image for conversion in which each of a domain and a recognition task of the image is the same as that of the inference target image, and the inference time feature amount.