Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...

As attention data evolves, attention segmentation can revolutionise targeting strategies. This approach considers both active and passive attention, catering to brands at different stages of growth ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.