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Extract from the Register of European Patents

EP About this file: EP4022503

EP4022503 - A METHOD FOR TRAINING SHALLOW CONVOLUTIONAL NEURAL NETWORKS FOR INFRARED TARGET DETECTION USING A TWO-PHASE LEARNING STRATEGY [Right-click to bookmark this link]
StatusThe application is deemed to be withdrawn
Status updated on  04.08.2023
Database last updated on 16.11.2024
FormerRequest for examination was made
Status updated on  03.06.2022
FormerThe international publication has been made
Status updated on  22.10.2021
Most recent event   Tooltip04.08.2023Application deemed to be withdrawnpublished on 06.09.2023  [2023/36]
Applicant(s)For all designated states
Aselsan Elektronik Sanayi ve Ticaret Anonim Sirketi
Mehmet Akif Ersoy Mahallesi, 296.cadde, No:16
06370 Ankara / TR
[2022/27]
Inventor(s)01 / UZUN, Engin
Mehmet Akif Ersoy Mahallesi
296 Cadde No:16
Yenimahalle/Ankara / TR
02 / AKSOY, Tolga
Mehmet Akif Ersoy Mahallesi
296 Cadde No:16
Yenimahalle/Ankara / TR
03 / AKAGÜNDÜZ, Erdem
Çankaya Üniversitesi Elektrik
Elektronik Müh. Böl.
N Blok Ofis C12 Mühendislik
Binas Yukar yurtçu Mahallesi, Mimar Sinan Cad. No:4
06790 Etimesgut/ Ankara / TR
 [2022/27]
Representative(s)Yamankaradeniz, Kemal
Destek Patent, Inc.
Maslak Mah.
Büyükdere Cad., No: 243
Kat: 13, Spine Tower, Sariyer
34485 Istanbul / TR
[2022/27]
Application number, filing date20931514.215.04.2020
[2022/27]
WO2020TR50316
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021211068
Date:21.10.2021
Language:EN
[2021/42]
Type: A1 Application with search report 
No.:EP4022503
Date:06.07.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 21.10.2021 takes the place of the publication of the European patent application.
[2022/27]
Search report(s)International search report - published on:TR21.10.2021
(Supplementary) European search report - dispatched on:EP23.08.2022
ClassificationIPC:G06K9/62, G06N3/08, G06V10/94, G06V10/32, G06V10/44, G06V10/82, G06V20/52, G06V20/56
[2022/38]
CPC:
G06V20/56 (EP,US); G06N20/00 (EP); G06N3/045 (EP);
G06N3/08 (EP); G06T5/20 (US); G06V10/32 (EP,US);
G06V10/454 (EP,US); G06V10/82 (EP,US); G06V10/94 (EP,US);
G06V20/52 (EP,US); G06T2207/20081 (US); G06T2207/20084 (US);
G06V2201/07 (US) (-)
Former IPC [2022/27]G06K9/42, G06K9/62, G06N3/08
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 [2022/27]
TitleGerman:VERFAHREN ZUM TRAINIEREN VON FLACHEN NEURONALEN FALTUNGSNETZEN FÜR INFRAROT-ZIELDETEKTION UNTER VERWENDUNG EINER ZWEIPHASIGEN LERNSTRATEGIE[2022/27]
English:A METHOD FOR TRAINING SHALLOW CONVOLUTIONAL NEURAL NETWORKS FOR INFRARED TARGET DETECTION USING A TWO-PHASE LEARNING STRATEGY[2022/27]
French:PROCÉDÉ D'ENTRAÎNEMENT DE RÉSEAUX DE NEURONES CONVOLUTIFS PEU PROFONDS POUR LA DÉTECTION INFRAROUGE DE CIBLES UTILISANT UNE STRATÉGIE D'ENTRAÎNEMENT EN DEUX PHASES[2022/27]
Entry into regional phase31.03.2022National basic fee paid 
31.03.2022Search fee paid 
31.03.2022Designation fee(s) paid 
31.03.2022Examination fee paid 
Examination procedure31.03.2022Examination requested  [2022/27]
21.03.2023Application deemed to be withdrawn, date of legal effect  [2023/36]
14.04.2023Despatch of communication that the application is deemed to be withdrawn, reason: reply to the communication from the examining division not received in time  [2023/36]
Fees paidRenewal fee
31.03.2022Renewal fee patent year 03
27.04.2023Renewal fee patent year 04
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Documents cited:Search[I]CN107609601  (BEIJING INST COMPUTER TECH & APPLICATION);
 [I]CN108052940  (UNIV NANJING SCI & TECH);
 [I]CN108182413  (UNIV CHINA MINING & TECHNOLOGY BEIJING);
 [I]WO2019095596  (SHEN ZHEN KUANG CHI HEZHONG TECH LTD [CN], et al);
International search[A]CN107563433  (UNIV ELECTRONIC SCI & TECH CHINA);
 [A]CN109816695  (NAT UNIV DEFENSE TECHNOLOGY PLA);
 [A]WO2019199244  (ASELSAN ELEKTRONIK SANAYI VE TICARET ANONIM SIRKETI [TR])
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.