Point cloud segmentation is effective for 3D workpiece defect detection. In this paper, a point cloud segmentation method based on Dynamic Attention Graph convolution neural network is designed and ...

Opening can be defined as a process ... a Point Detection Algorithm. Here, we use a Laplacian Filter of size 3x3 in order to detect a point as demonstrated in the image below. Co-Ordinates of the ...

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

Abstract: Bone scan image segmentation is a crucial step in the early detection ... relies on a convolution mechanism to extract local features. A new approach using a pure transformer, Segmenter, can ...

This break-even point can be controlled by varying model capacity, sample diversity, and temperature scaling. The difference in performances of the six querying methods is larger than in the case of ...

It can be found that current relevant studies mainly focus on the target detection ... channels with small convolution kernels in parallel for compensation, and finally output image segmentation ...

In routine medical practice, a large number of medical images are produced in the process of ... lesion tracking and image discrimination. The application of object detection in medical images is ...