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USING A TWO-PHASE LEARNING STRATEGY [Right-click to bookmark this link] | Status | The application is deemed to be withdrawn Status updated on 04.08.2023 Database last updated on 16.11.2024 | |
Former | Request for examination was made Status updated on 03.06.2022 | ||
Former | The international publication has been made Status updated on 22.10.2021 | Most recent event Tooltip | 04.08.2023 | Application deemed to be withdrawn | published on 06.09.2023 [2023/36] | Applicant(s) | For all designated states Aselsan Elektronik Sanayi ve Ticaret Anonim Sirketi Mehmet Akif Ersoy Mahallesi,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 date | 20931514.2 | 15.04.2020 | [2022/27] | WO2020TR50316 | Filing language | EN | Procedural language | EN | Publication | Type: | 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: | TR | 21.10.2021 | (Supplementary) European search report - dispatched on: | EP | 23.08.2022 | Classification | IPC: | 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)
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Former IPC [2022/27] | G06K9/42, G06K9/62, G06N3/08 | Designated contracting states | AL, 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] | Title | German: | 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 phase | 31.03.2022 | National basic fee paid | 31.03.2022 | Search fee paid | 31.03.2022 | Designation fee(s) paid | 31.03.2022 | Examination fee paid | Examination procedure | 31.03.2022 | Examination requested [2022/27] | 21.03.2023 | Application deemed to be withdrawn, date of legal effect [2023/36] | 14.04.2023 | Despatch 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 paid | Renewal fee | 31.03.2022 | Renewal fee patent year 03 | 27.04.2023 | Renewal fee patent year 04 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | 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]) |