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

Junfeng Xiong

Yang Wang

Xin Fang Hao

Huan Zhang

Zhonghou Lyu

A method and apparatus for recognizing face-swap, a device and a computer readable storage medium are provided, and relates to the field of computer technology. An implementation of the method includes: performing face detection on a to-be-recognized image to determine a face area in the to-be-recognized image; extending the face area to a head area in the to-be-recognized image, to generate an image of the head area; occluding at least one part of the face area in the image of the head area, to obtain an occlusion image; and determining, based on the occlusion image and a pre-trained face-swap recognition model, a face-swap recognition result of the to-be-recognized image, the face-swap recognition model being used to determine whether a face in the to-be-recognized image is swapped with a preset face.

Method and apparatus for recognizing face-swap, device and computer readable storage medium

Example embodiments of the present disclosure provide an image detection method, an electronic device and a computer-readable storage medium. The image detection method includes the following. Am image to be detected including a target object is obtained and multiple feature representation determination modules are obtained. The multiple feature representation determination modules are trained for different parts of a reference object, using a reference image including the reference object and an authenticity of the reference image. Multiple feature representations for different parts of the target object are determined based on the image to be detected and the multiple feature representation determination modules. An authenticity of the image to be detected is determined based on the multiple feature representations.

Image detection method, apparatus, device and storage medium

Embodiments of the present disclosure provide a method and apparatus for detecting a face image, electronic device, and computer readable medium. The method may include: performing facial keypoint detection on an image frame containing a face object; segmenting a center face area image and an entire face area image of a target face object from the image frame based on a facial keypoint detection result; performing head pose estimation respectively based on the center face area image and the entire face area image; and generating a detection result on whether the target face object contained in the image frame is a fake face object based on a difference between a piece of first head pose information estimated based on the center face area image and a piece of second head pose information estimated based on the entire face area image.

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Beijing, China

Junfeng Xiong