Baidu Online Network Technology (beijing) Co., Ltd.

Baidu Online Network Technology Co., Ltd.

Shijia Chen

Shilei Wen

Xubin Li

Li Wang

Tian Xia

Yan Jiang

Han Gao

Xiaohua Cheng

Yuqiang Zhai

You Han

Shouke Qin

Peizhi Xu

Yinan Yu

Zeming Zhang

Xiaolin Ma

Zhiyang Chen

The disclosure discloses a method and apparatus for identifying a traffic light. An embodiment of the method comprises: zooming a to-be-processed image acquired by an image acquisition device by at least one preset ratio to obtain at least one zoomed image; inputting the at least one zoomed image into a pre-trained convolutional neural network to obtain location information and category information of a traffic light corresponding to each zoomed image of the at least one zoomed image, wherein the convolutional neural network is used for retrieving location information and category information of a traffic light displayed in an image; and analyzing the obtained location information and category information to generate at least one candidate traffic light identification result, and fusing the generated candidate traffic light identification result to generate a traffic light identification result corresponding to the to-be-processed image. The embodiment improves the accuracy in identifying a traffic light.

Method and apparatus for identifying traffic light

Provided in the present disclosure are a computer-implemented searching method and a server. The computer-implemented searching method includes: receiving, at one or more computing devices, a current searching term sent by a client; obtaining, at the one or more computing devices, a picture-expressible term contained in the current searching term; obtaining, at the one or more computing devices, a picture result according to the picture-expressible term; and sending, at the one or more computing devices, the picture result to the client. The present method improves the effect of the information expression of the search results.

Searching method and apparatus

A method and a device for recognizing a subject area of an image are provided. The method includes receiving an image to be recognized, and extracting a candidate subject area from the image; eliminating a non-subject area from the extracted candidate subject areas to obtain a target candidate subject area, and adjusting and classifying the target candidate subject areas to obtain at least one set of the target candidate subject areas; and merging the target candidate subject areas in each set of the target candidate subject areas to recognize the subject area of the image.

Method and device for recognizing subject area of image

Growing community of inventors

Beijing, China

Shijia Chen