| EP3843004 - PORTRAIT SEGMENTATION METHOD, MODEL TRAINING METHOD AND ELECTRONIC DEVICE [Right-click to bookmark this link] | Status | The application has been withdrawn Status updated on 04.11.2022 Database last updated on 28.03.2026 | |
| Former | Request for examination was made Status updated on 03.12.2021 | ||
| Former | The application has been published Status updated on 28.05.2021 | Most recent event Tooltip | 04.11.2022 | Withdrawal of application | published on 07.12.2022 [2022/49] | Applicant(s) | For all designated states GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD. No. 18, Haibin Road Wusha, Chang'an Dongguan Guangdong 523860 / CN | For all designated states Shanghai Jinsheng Communications Technology Co., Ltd. Room 2101, No. 600 Longhua Zhong Road Xuhui District Shanghai / CN | [2021/26] | Inventor(s) | 01 /
WU, Jiatao c/o GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD. No. 18 Haibin Road Wusha, Chang'an Dongguan, Guangdong 523860 / CN | [2021/26] | Representative(s) | Manitz Finsterwald Patent- und Rechtsanwaltspartnerschaft mbB Martin-Greif-Straße 1 80336 München / DE | [N/P] |
| Former [2021/26] | Manitz Finsterwald Patent- und Rechtsanwaltspartnerschaft mbB Martin-Greif-Strasse 1 80336 München / DE | Application number, filing date | 20205924.2 | 05.11.2020 | [2021/26] | Priority number, date | CN201911342311 | 23.12.2019 Original published format: CN201911342311 | [2021/26] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP3843004 | Date: | 30.06.2021 | Language: | EN | [2021/26] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 03.05.2021 | Classification | IPC: | G06K9/34, G06K9/62 | [2021/26] | CPC: |
G06V10/26 (EP,CN,US);
G06F18/214 (US);
G06F18/24 (US);
G06F18/241 (CN);
G06F18/253 (EP,CN,US);
G06F18/254 (EP,CN);
G06N20/00 (US);
G06N5/04 (US);
G06T7/194 (CN,US);
G06V10/764 (EP,US);
G06V10/806 (EP,US);
G06V10/809 (EP,US);
G06T2207/10004 (CN);
G06T2207/20081 (CN,US);
G06T2207/20084 (CN,US);
G06T2207/30196 (CN,US)
(-)
| 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 [2022/01] |
| Former [2021/26] | 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 | Extension states | BA | Not yet paid | ME | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | VERFAHREN ZUR PORTRÄTSEGMENTIERUNG, MODELLTRAININGSVERFAHREN UND ELEKTRONISCHE VORRICHTUNG | [2021/26] | English: | PORTRAIT SEGMENTATION METHOD, MODEL TRAINING METHOD AND ELECTRONIC DEVICE | [2021/26] | French: | PROCÉDÉ DE SEGMENTATION DE PORTRAIT, PROCÉDÉ D'APPRENTISSAGE DE MODÈLE ET DISPOSITIF ÉLECTRONIQUE | [2021/26] | Examination procedure | 25.11.2021 | Amendment by applicant (claims and/or description) | 25.11.2021 | Examination requested [2022/01] | 25.11.2021 | Date on which the examining division has become responsible | 28.10.2022 | Application withdrawn by applicant [2022/49] |
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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] LIU YU ET AL: "Fusion that matters: convolutional fusion networks for visual recognition", MULTIMEDIA TOOLS AND APPLICATIONS, KLUWER ACADEMIC PUBLISHERS, BOSTON, US, vol. 77, no. 22, 27 February 2018 (2018-02-27), pages 29407 - 29434, XP036609524, ISSN: 1380-7501, [retrieved on 20180227], DOI: 10.1007/S11042-018-5691-4 [I] 1-15 * the whole document * DOI: http://dx.doi.org/10.1007/s11042-018-5691-4 | [I] WANXIN TIAN ET AL: "Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 20 November 2018 (2018-11-20), XP081199638 [I] 1-15 * the whole document * |