公开(公告)号：US20200372648A1

公开(公告)日：2020-11-26

申请号：US16989474

申请日：2020-08-10

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Ruixin ZHANG ,  Xinyang JIANG ,  Xing SUN ,  Xiaowei GUO

IPC: G06T7/00 ,  G06T7/174 ,  G06T1/20 ,  G06N3/04 ,  G06N3/08

Abstract: An image processing method is provided, including: obtaining a target image; invoking an image recognition model including: a backbone network, a pooling module and a dilated convolution module that are connected to the backbone network and that are parallel to each other, and a fusion module connected to the pooling module and the dilated convolution module; performing feature extraction on the target image by extracting, using the backbone network, a feature map of the target image, separately processing, using the pooling module and the dilated convolution module, the feature map, to obtain a first result outputted by the pooling module and a second result outputted by the dilated convolution module, and fusing the first result and the second result by using the fusion module into a model recognition result of the target image; and determining a semantic segmentation labeled image of the target image based on the model recognition result.

公开(公告)号：US20200020105A1

公开(公告)日：2020-01-16

申请号：US16578672

申请日：2019-09-23

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Xing SUN ,  Rui Wang ,  Xiaowei Guo

IPC: G06T7/13 ,  G06K9/62

Abstract: Provided is a border detection method, server, and storage medium. The method including detecting a plurality of first straight line segments in a to-be-detected image, the to-be-detected image comprising a target region of a to-be-determined border; generating a plurality of first candidate borders of the target region according to the plurality of first straight line segments; obtaining a plurality of second candidate borders of the target region from the plurality of first candidate borders; extracting border features of the plurality of second candidate borders; and obtaining an actual border of the target region from the plurality of second candidate borders according to the border features of the plurality of second candidate borders and a border detection model, the border detection model being used to determine a detected value of each candidate border, and the detected value representing a similarity between each candidate border and the actual border.