JP2022177826A5 - - Google Patents

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JP2022177826A5
JP2022177826A5 JP2022080909A JP2022080909A JP2022177826A5 JP 2022177826 A5 JP2022177826 A5 JP 2022177826A5 JP 2022080909 A JP2022080909 A JP 2022080909A JP 2022080909 A JP2022080909 A JP 2022080909A JP 2022177826 A5 JP2022177826 A5 JP 2022177826A5
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Priority claimed from DE102021205034.4A external-priority patent/DE102021205034A1/de
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JP2022080909A 2021-05-18 2022-05-17 オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング Pending JP2022177826A (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102021205034.4A DE102021205034A1 (de) 2021-05-18 2021-05-18 Trainieren eines maschinenlernfähigen modells zur schätzung des relativen objektmassstabs
DE102021205034.4 2021-05-18

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JP2022177826A JP2022177826A (ja) 2022-12-01
JP2022177826A5 true JP2022177826A5 (https=) 2025-05-20

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JP2022080909A Pending JP2022177826A (ja) 2021-05-18 2022-05-17 オブジェクトの相対スケールを推定する機械学習可能なモデルのトレーニング

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US (1) US12125228B2 (https=)
JP (1) JP2022177826A (https=)
KR (1) KR20220156470A (https=)
CN (1) CN115375908A (https=)
DE (1) DE102021205034A1 (https=)

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* Cited by examiner, † Cited by third party
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CN116089428A (zh) * 2023-01-05 2023-05-09 长城汽车股份有限公司 一种比例尺显示方法、系统、电子设备、车辆及存储介质
US12614406B2 (en) * 2023-07-11 2026-04-28 Capital One Services, Llc Systems and methods for applying scale factors to image objects

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Publication number Priority date Publication date Assignee Title
US8625902B2 (en) 2010-07-30 2014-01-07 Qualcomm Incorporated Object recognition using incremental feature extraction
DE102018206848A1 (de) * 2018-05-03 2019-11-07 Robert Bosch Gmbh Verfahren und Vorrichtung zum Ermitteln eines Tiefeninformationsbilds aus einem Eingangsbild
JP7003972B2 (ja) * 2019-06-11 2022-01-21 トヨタ自動車株式会社 距離推定装置、距離推定方法及び距離推定用コンピュータプログラム
EP3965009A1 (en) 2020-09-08 2022-03-09 Robert Bosch GmbH Device and method for training a scale-equivariant convolutional neural network

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