US 12,423,951 B2
Server for classifying image and operating method thereof
Seohyun Back, Suwon-si (KR); Taeho Kil, Suwon-si (KR); Gyubin Son, Suwon-si (KR); and Hyunsoo Choi, Suwon-si (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Jan. 26, 2023, as Appl. No. 18/159,976.
Application 18/159,976 is a continuation of application No. PCT/KR2023/000805, filed on Jan. 17, 2023.
Claims priority of application No. 10-2022-0013614 (KR), filed on Jan. 28, 2022.
Prior Publication US 2023/0245424 A1, Aug. 3, 2023
Int. Cl. G06V 10/764 (2022.01); G06F 16/28 (2019.01); G06F 16/35 (2025.01); G06F 16/906 (2019.01); G06F 18/24 (2023.01); G06F 18/241 (2023.01); G06F 18/2415 (2023.01); G06N 3/02 (2006.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 7/01 (2023.01); G06T 3/4046 (2024.01); G06T 5/00 (2024.01); G06T 5/60 (2024.01); G06T 7/60 (2017.01); G06T 7/62 (2017.01); G06V 10/26 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G06V 30/19 (2022.01); G06V 40/16 (2022.01)
CPC G06V 10/765 (2022.01) [G06F 16/285 (2019.01); G06F 16/35 (2019.01); G06F 16/906 (2019.01); G06F 18/24 (2023.01); G06F 18/241 (2023.01); G06F 18/2415 (2023.01); G06N 3/02 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 7/01 (2023.01); G06T 3/4046 (2013.01); G06T 5/00 (2013.01); G06T 5/60 (2024.01); G06T 7/60 (2013.01); G06T 7/62 (2017.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 20/698 (2022.01); G06V 30/19173 (2022.01); G06V 40/172 (2022.01); G06F 2218/12 (2023.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer vision method of classifying an image by a server, the computer vision method comprising:
obtaining, by the server, classification probability values of the image by applying the image to an image classification model including a plurality of parallel multi-layer perceptron (MLP) layers sequentially connected to each other; and
based on the classification probability values, classifying, by the server, the image,
wherein each of the plurality of parallel MLP layers comprises:
a first MLP and a second MLP, an operation using the first MLP and an operation using the second MLP being performed in parallel, and
dimensions of data before and after an operation of each of the plurality of parallel MLP layers are a same dimension by transforming an operation result of the first MLP to match a predefined original dimension, transforming an operation result of the second MLP to match the predefined original dimension, and then combining the transformed operation result of the first MLP with the transformed operation result of the second MLP to maintain the same dimension before and after the operation of each of the plurality of parallel MLP layers.