公开(公告)号：US11055602B2

公开(公告)日：2021-07-06

申请号：US16159317

申请日：2018-10-12

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Dongze Xu ,  Faen Zhang ,  Kai Zhou ,  Qian Wang ,  Kun Liu ,  Yuanhao Xiao ,  Jiayuan Sun ,  Lan Liu ,  Tianhan Xu

IPC: G06N3/02 ,  G06F3/0483

Abstract: The present disclosure provides a deep learning assignment processing method and apparatus, a device and a storage medium. It is feasible to obtain the deep learning assignment submitted by the user in a predetermined manner, the predetermined manner comprising the web UI manner, then submit the deep learning assignment to the deep learning system so that the deep learning system runs the submitted deep learning assignment. As compared with the prior art, processing such as programming is not needed upon submitting the deep learning assignment in the solutions of the present disclosure, thereby simplifying the user's operations, improving the processing efficiency of the deep learning assignment, and accelerating the user's speed of developing deep learning.

公开(公告)号：US10769774B2

公开(公告)日：2020-09-08

申请号：US16165518

申请日：2018-10-19

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

Inventor： Jiabing Leng ,  Minghao Liu ,  Yang Liang ,  Yawei Wen ,  Faen Zhang ,  Jiangliang Guo ,  Jin Tang ,  Shiming Yin

IPC: G06T7/00 ,  G06K9/00

Abstract: The application provides a method and a device for detecting a defect in a steel plate, as well as an apparatus and a server therefor. The method for detecting a defect in a steel plate comprises: receiving image data of the steel plate, and generating a defect detection request according to the image data; monitoring computing loads of a plurality of servers, and sending the image data and the defect detection request to a first server; receiving, from the first server, a detection result obtained by calculating the image data using the detection model; and operating according to the detection result, wherein the detection result comprises a selected one of a pass result and a defect result. With the proposed method, the position and the classification of the at least one defect can be obtained, so that the detection accuracy is improved.

公开(公告)号：US10264063B2

公开(公告)日：2019-04-16

申请号：US15429386

申请日：2017-02-10

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Jiaxing Wang ,  Kai Zhou ,  Faen Zhang ,  Qian Wang ,  Yuanhao Xiao

IPC: G06F15/173 ,  H04L29/08 ,  G06F9/50

Abstract: The present disclosure provides a method and apparatus for scheduling a cloud server. A specific implementation mode of the method comprises: monitoring whether current time is in a first pre-set time period; in response to the monitoring that the current time is in the first pre-set time period, scheduling a cloud server in a first cloud server cluster having a running state being an idle state, as a target cloud server, to a second cloud server cluster, so that the target cloud server executes a task obtained by the second cloud server cluster; monitoring whether the current time is in a second pre-set time period; in response to the monitoring that the current time is in the second pre-set time period, rescheduling the target cloud server to the first cloud server cluster, so that the target cloud server executes a task obtained by the first cloud server cluster.

公开(公告)号：US20190080154A1

公开(公告)日：2019-03-14

申请号：US16102924

申请日：2018-08-14

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

Inventor： Tianhan Xu ,  Faen Zhang ,  Kai Zhou ,  Qian Wang ,  Kun Liu ,  Yuanhao Xiao ,  Dongze Xu ,  Jiayuan Sun ,  Lan Liu

IPC: G06K9/00 ,  G06K9/62

Abstract: An integrated facial recognition method and system. The method includes: receiving a request for acquiring an integrated facial recognition service sent by a user terminal, which includes: an identifier of a user-selected model associated with facial recognition of the user, and an identifier of an operation selected by the user from candidate operations; and executing distributedly an operation selected by the user from the candidate operations on the user-selected model associated with the facial recognition of the user to obtain an operation result, and storing the operation result. The embodiment has realized completing the operations such as training a model or developing a facial recognition application, without the need of buying hardware and establishing a software environment by the user, thereby saving the development cost and improving the convenience of using the facial recognition service.