Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Luyan Liu

Yefeng Zheng

Kai Ma

An image segmentation method includes obtaining target domain images and source domain images, and segmenting the source domain images and the target domain images by using a generative network in a first generative adversarial network. The method further includes segmenting the source domain images and the target domain images by using a generative network in a second generative adversarial network, and determining a first source domain image and a second source domain image according to source domain segmentation losses, and determining a first target domain image and a second target domain image according to target domain segmentation losses. The method also includes performing cross training on the first generative adversarial network and the second generative adversarial network to obtain a trained first generative adversarial network; and segmenting a to-be-segmented image based on the generative network in the trained first generative adversarial network.

Image segmentation method and apparatus and storage medium

A method for three-dimensional edge detection includes obtaining, for each of plural two-dimensional slices of a three-dimensional image, a two-dimensional object detection result and a two-dimensional edge detection result, stacking the two-dimensional object detection results into a three-dimensional object detection result, and stacking the two-dimensional edge detection results into a three-dimensional edge detection result. The method also includes performing encoding according to a feature map of the three-dimensional image, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an encoding result, and performing decoding according to the encoding result, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an optimized three-dimensional edge detection result of the three-dimensional image.

Three-dimensional edge detection based on mutual object and edge detection and three-dimensional edge refinement detection

This application provides a method and apparatus for training an image segmentation model, a device, and a storage medium. The method includes: training an initial image segmentation model by using source domain samples, to obtain a pre-trained image segmentation model; extracting a predicted segmentation result of a source domain image and a predicted segmentation result of a target domain image by using the pre-trained image segmentation model; training a first discriminator by using the predicted segmentation result of the source domain image and the predicted segmentation result of the target domain image; training a second discriminator by using the predicted segmentation result of the source domain image and a standard segmentation result of the source domain image; and iteratively training the pre-trained image segmentation model according to a loss function of the pre-trained image segmentation model, an adversarial loss function of the first discriminator, and an adversarial loss function of the second discriminator, until convergence, to obtain a trained image segmentation model.

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Shenzhen, China

Luyan Liu