Tencent Technology (shenzhen) Company Limited

Weiming Dong

Jilin Li

Chengjie Wang

Feiyue Huang

Kekai Sheng

Xiaowei Guo

Haolei Yuan

Xingjia Pan

Xudong Zhu

Changsheng Xu

Yuqiang Ren

This application discloses a region recognition method, apparatus, and device, and a readable storage medium, and relates to the field of artificial intelligence. The method includes: acquiring an input image, the input image including image content of a to-be-recognized region; acquiring a first rotation angle of the image content in the input image, the first rotation angle being estimated by using a recognition model; rotating a convolution kernel in the recognition model at the first rotation angle, and performing convolution processing on an image feature of the input image using the rotated convolution kernel to obtain a target feature; recognizing the target feature to obtain region data; and determining, in the input image by using the region data, a target region corresponding to the image content.

Region recognition method, apparatus and device, and readable storage medium

Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.

Evaluation method and evaluation device for facial key point positioning result

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Shenzhen, China

Weiming Dong