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1. (WO2019025909) NEURAL STYLE TRANSFER FOR IMAGE VARIETIZATION AND RECOGNITION
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Pub. No.: WO/2019/025909 International Application No.: PCT/IB2018/055570
Publication Date: 07.02.2019 International Filing Date: 25.07.2018
IPC:
G06K 9/20 (2006.01) ,G06K 9/62 (2006.01) ,G06N 3/08 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20
Image acquisition
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
Applicants:
3M INNOVATIVE PROPERTIES COMPANY [US/US]; 3M Center Post Office Box 33427 Saint Paul, Minnesota 55133-3427, US
Inventors:
AFRIDI, Muhammad Jamal; US
COLLINS, Elisa J.; US
GANDRUD, Jonathan D.; US
HOWARD, James W.; US
SANGARI, Arash; US
SNYDER, James B.; US
Agent:
DONG, Yufeng; US
BLANK, Colene H.,; US
HARTS, Dean M. ,; US
LEVINSON, Eric D.,; US
MAKI, Eloise J.,; US
NOWAK, Sandra K.,; US
OLSON, Peter L.,; US
RHODES, Kevin H.; US
RINGSRED, Ted K.,; US
Priority Data:
62/539,77201.08.2017US
Title (EN) NEURAL STYLE TRANSFER FOR IMAGE VARIETIZATION AND RECOGNITION
(FR) TRANSFERT DE STYLE NEURONAL POUR LA VARIÉTISATION ET LA RECONNAISSANCE D'IMAGE
Abstract:
(EN) Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
(FR) L'invention concerne des systèmes et des procédés de reconnaissance d'image. Un réseau neuronal de transfert de style est appris pour chaque image réelle afin d'obtenir un réseau neuronal de transfert de style appris. Les caractéristiques de texture ou de style des images réelles sont transférées à une image cible, au moyen du réseau neuronal de transfert de style appris, afin de générer des images stylées qui seront utilisées pour apprendre un modèle d'apprentissage automatique de reconnaissance d'image (par exemple, un réseau neuronal). Dans certains cas, les images réelles sont regroupées et les images de style représentatives sont sélectionnées à partir des grappes.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)