05-03-2020 дата публикации
Номер: US20200074205A1
Автор:
Shuai YI,
Chongdao WANG,
Luming TANG,
Junjie YAN,
Xiaogang WANG,
YI SHUAI,
WANG CHONGDAO,
TANG LUMING,
YAN JUNJIE,
WANG XIAOGANG,
YI, Shuai,
WANG, Chongdao,
TANG, Luming,
YAN, Junjie,
WANG, Xiaogang
Embodiments of the present disclosure provide methods and apparatuses for vehicle appearance feature recognition, methods and apparatuses for vehicle retrieval, storage media, and electronic devices. The method for vehicle appearance feature recognition includes: obtaining multiple region segmentation results of a target vehicle from an image to be recognized; extracting global feature data and multiple pieces of region feature data from the image to be recognized based on the multiple region segmentation results; and fusing the global feature data and the multiple pieces of region feature data to obtain appearance feature data of the target vehicle. 1. A method for vehicle appearance feature recognition , comprising:obtaining a plurality of region segmentation results of a target vehicle from an image to be recognized;extracting global feature data and a plurality of pieces of region feature data from the image to be recognized based on the plurality of region segmentation results; andfusing the global feature data and the plurality of pieces of region feature data to obtain appearance feature data of the target vehicle.2. The method according to claim 1 , wherein the plurality of region segmentation results respectively corresponds to regions of different orientations of the target vehicle claim 1 ,wherein the plurality of region segmentation results comprise segmentation results of a front side, a rear side, a left side, and a right side of the target vehicle.3. The method according to claim 1 , wherein the obtaining a plurality of region segmentation results of a target vehicle from an image to be recognized comprises:obtaining the plurality of region segmentation results of the target vehicle from the image to be recognized by means of a first neural network for region extraction.4. The method according to claim 3 , wherein the first neural network has a first feature extraction layer and a first computing layer connected to a tail end of the first feature ...
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