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Extract from the Register of European Patents

EP About this file: EP3944145

EP3944145 - METHOD AND DEVICE FOR TRAINING IMAGE RECOGNITION MODEL, EQUIPMENT AND MEDIUM [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  16.02.2024
Database last updated on 30.10.2024
FormerGrant of patent is intended
Status updated on  22.11.2023
FormerRequest for examination was made
Status updated on  24.12.2021
Most recent event   Tooltip25.10.2024Lapse of the patent in a contracting state
New state(s): AT, CZ, EE, ES
published on 27.11.2024 [2024/48]
Applicant(s)For all designated states
BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
2/F Baidu Campus
No. 10 Shangdi 10th Street
Haidian District
Beijing 100085 / CN
[2024/12]
Former [2022/04]For all designated states
BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
2/F Baidu Campus
No.10 Shangdi 10th Street
Haidian District
Beijing 100085 / CN
Inventor(s)01 / LIU, Ruixue
BEIJING, 100085 / CN
02 / QIN, Xiameng
BEIJING, 100085 / CN
03 / EN, Mengyi
BEIJING, 100085 / CN
04 / YAO, Kun
BEIJING, 100085 / CN
05 / ZHANG, Chengquan
BEIJING, 100085 / CN
06 / ZHU, Shengxian
BEIJING, 100085 / CN
07 / LI, Yunhao
BEIJING, 100085 / CN
08 / HAN, Junyu
BEIJING, 100085 / CN
09 / SUN, Hao
BEIJING, 100085 / CN
 [2022/04]
Representative(s)von Tietzen und Hennig, Nikolaus
Lorenz Seidler Gossel
Rechtsanwälte Patentanwälte
Partnerschaft mbB
Widenmayerstraße 23
80538 München / DE
[2022/04]
Application number, filing date21210713.026.11.2021
[2022/04]
Priority number, dateCN2021109098622.01.2021         Original published format: CN202110090986
[2022/04]
Filing languageEN
Procedural languageEN
PublicationType: A2 Application without search report 
No.:EP3944145
Date:26.01.2022
Language:EN
[2022/04]
Type: A3 Search report 
No.:EP3944145
Date:22.06.2022
Language:EN
[2022/25]
Type: B1 Patent specification 
No.:EP3944145
Date:20.03.2024
Language:EN
[2024/12]
Search report(s)(Supplementary) European search report - dispatched on:EP25.05.2022
ClassificationIPC:G06N3/084
[2023/47]
CPC:
G06V30/412 (EP,CN,US); G06F18/2148 (US); G06N3/084 (EP,CN);
G06V10/22 (CN); G06V10/82 (EP,US); G06V30/14 (US);
G06V30/1444 (EP,US); G06V30/30 (US); G06V30/10 (EP,US) (-)
Former IPC [2022/04]G06K9/00
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/04]
TitleGerman:METHODE UND GERÄT ZUM TRAINIEREN EINES BILDERKENNUNGSMODELLS, AUSRÜSTUNG UND MEDIUM[2023/47]
English:METHOD AND DEVICE FOR TRAINING IMAGE RECOGNITION MODEL, EQUIPMENT AND MEDIUM[2022/04]
French:PROCEDE ET DISPOSITIF D'ENTRAINEMENT DE MODELE DE RECONNAISSANCE D'IMAGES, EQUIPEMENT ET SUPPORT[2023/47]
Former [2022/04]METHODE UND GERÄT ZUM TRAINIEREN EINES BILDERKENNUNGSMODELLS, AUSRÜSTUNG UND MEDIUM
Former [2022/04]PROCEDE ET DISPOSITIF D'ENTRAINEMENT DE MODELE DE RECONNAISSANCE D'IMAGES, EQUIPEMENT ET SUPPORT
Examination procedure26.11.2021Examination requested  [2022/04]
20.12.2022Amendment by applicant (claims and/or description)
23.11.2023Communication of intention to grant the patent
09.02.2024Fee for grant paid
09.02.2024Fee for publishing/printing paid
09.02.2024Receipt of the translation of the claim(s)
Fees paidRenewal fee
28.11.2023Renewal fee patent year 03
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See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT20.03.2024
BG20.03.2024
CZ20.03.2024
EE20.03.2024
ES20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
NL20.03.2024
SE20.03.2024
SM20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
IS20.07.2024
PT22.07.2024
[2024/48]
Former [2024/47]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
NL20.03.2024
SE20.03.2024
SM20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
IS20.07.2024
PT22.07.2024
Former [2024/41]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
NL20.03.2024
SE20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/37]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
SE20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/36]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/35]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/33]LT20.03.2024
NO20.06.2024
Documents cited:Search[XYI]US10489682  (KUMAR NISHIT [US], et al) [X] 1-3,8,10-12,14,15 * abstract * * column 1, line 54 - line 55 * * column 5, line 44 - line 50 * * column 5, line 51 - column 6, line 2 * * column 3, line 66 - column 4, line 4 * [Y] 4,5 [I] 6,7,9,13;
 [Y]US2020026944  (UPPAL AKSHAY [IN]) [Y] 4,5 * abstract * * paragraphs [0037] , [0 58] *;
 [A]  - YANG ZHAO ET AL, "Self-Adversarially Learned Bayesian Sampling", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20181121), XP080937686 [A] 1-15 * the whole document *
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