Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

China Three Gorges Renewables (group) Co., Ltd.

China Three Gorges New Energy (group) Co., Ltd. Liaoning Branch

Three Gorges New Energy Offshore Wind Power Operation and Maintenance Jiangsu Co., Ltd.

Pengyuan Lv

Chengquan Zhang

Shanshan Liu

Junyu Han

Kun Yao

Xiaoqiang Zhang

Haifeng Wang

Errui Ding

Tian Wu

Jingdong Wang

Xiaoyan Wang

Jingtuo Liu

Yun Wang

Long Jin

Hua Lu

Liang Wu

Sijin Wu

Xinyi Tan

Yongfeng Chen

Qiming Peng

Yangliu Xu

Meina Qiao

Haoning Xue

Zhaorui Chai

Dongxing Gao

Jinjiang Lan

Mingzhe Liu

Chaoyue Geng

Hongliang Song

The present disclosure provides a character recognition model training method and apparatus, a character recognition method and apparatus, a device and a medium, relating to the technical field of artificial intelligence, and specifically to the technical fields of deep learning, image processing and computer vision, which can be applied to scenarios such as character detection and recognition technology. The specific implementing solution is: partitioning an untagged training sample into at least two sub-sample images; dividing the at least two sub-sample images into a first training set and a second training set; where the first training set includes a first sub-sample image with a visible attribute, and the second training set includes a second sub-sample image with an invisible attribute; performing self-supervised training on a to-be-trained encoder by taking the second training set as a tag of the first training set, to obtain a target encoder.

Character recognition model training method and apparatus, character recognition method and apparatus, device and storage medium

The yaw control system may obtain time series data of a wind turbine generator set in response to a strategy adjustment request, the time series data of the wind turbine generator set comprising time series data for a wind facing angle; determine a generator set operating duration corresponding to each wind facing angle according to the time series data of the wind facing angle; determine a data distribution characteristic of the generator set operating duration corresponding to the wind facing angle according to generator set operating durations corresponding to multiple wind facing angles; and when identifying that the data distribution characteristic of the generator set operating duration corresponding to the wind facing angle meets a corresponding strategy adjustment condition, adjust a yaw control strategy, to perform yaw control on the wind turbine generator set according to an adjusted yaw control strategy.

Adjusting method of yaw control strategy, yaw control system and medium

A text recognition method includes: acquiring an image including text information, the text information including M characters, M being a positive integer greater than 1; performing text recognition on the image to acquire character information about the M characters; recognizing reading direction information about each character in accordance with the character information about the M characters, the reading direction information being used to indicate a next character corresponding to a current character in a semantic reading order; and ranking the M characters in accordance with the reading direction information about the M characters to acquire a text recognition result of the text information.

Text recognition method and device, and electronic device

The present disclosure provides a method for visual question answering, which relates to fields of computer vision and natural language processing. The method includes: acquiring an input image and an input question; detecting visual information and position information of each of at least one text region in the input image; determining semantic information and attribute information of each of the at least one text region based on the visual information and the position information; determining a global feature of the input image based on the visual information, the position information, the semantic information, and the attribute information; determining a question feature based on the input question; and generating a predicted answer for the input image and the input question based on the global feature and the question feature. The present disclosure further provides a device for visual question answering, a computer device and a medium.

Method and apparatus for visual question answering, computer device and medium

The present disclosure discloses a method and apparatus for recognizing a text. The method comprises: acquiring images of a text area of an input image, the acquired images including a text centerline graph, a text direction offset graph, a text boundary offset graph, and a text character classification graph; extracting coordinates of feature points of a character center from the text centerline graph; sorting the extracted coordinates of the feature points based on the text direction offset graph to obtain a coordinate sequence of the feature points; determining a polygonal bounding box of the text area based on the coordinate sequence of the feature points of the character center and the text boundary offset graph; and determining a classification result of the feature points of the character center, based on the coordinate sequence of the feature points of the character center and the text character classification graph.

Method and apparatus for recognizing text

Growing community of inventors

Beijing, China

Pengyuan Lv