公开(公告)号：US11610328B2

公开(公告)日：2023-03-21

申请号：US16861293

申请日：2020-04-29

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Qingze Wang ,  Le Kang ,  Yingze Bao

IPC: G06T7/73 ,  G06T7/11 ,  G06N20/00 ,  G06V10/44 ,  G06V20/64

Abstract: Embodiments of the present disclosure provide a method and apparatus for identifying an item. The method includes: acquiring an item image of a to-be-identified item; setting initial position coordinates of the to-be-identified item on the item image; and executing following identifying: inputting the item image and the initial position coordinates into a pre-trained attention module to output an item feature of the to-be-identified item; inputting the item feature into a pre-trained long short-term memory network to output a predicted category and predicted position coordinates of the to-be-identified item; determining whether a preset condition is satisfied; and determining, in response to the preset condition being satisfied, a predicted category of the to-be-identified item outputted by the long short-term memory network a last time for use as a final category of the to-be-identified item.

公开(公告)号：US20210035324A1

公开(公告)日：2021-02-04

申请号：US16861293

申请日：2020-04-29

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Qingze Wang ,  Le Kang ,  Yingze Bao

IPC: G06T7/73 ,  G06K9/00 ,  G06T7/11 ,  G06N20/00 ,  G06K9/46

Abstract: Embodiments of the present disclosure provide a method and apparatus for identifying an item. The method includes: acquiring an item image of a to-be-identified item; setting initial position coordinates of the to-be-identified item on the item image; and executing following identifying: inputting the item image and the initial position coordinates into a pre-trained attention module to output an item feature of the to-be-identified item; inputting the item feature into a pre-trained long short-term memory network to output a predicted category and predicted position coordinates of the to-be-identified item; determining whether a preset condition is satisfied; and determining, in response to the preset condition being satisfied, a predicted category of the to-be-identified item outputted by the long short-term memory network a last time for use as a final category of the to-be-identified item.