Abstract: Open-set object detection (OSOD) is an important research direction in computer vision, focusing on enhancing a model’s ability to detect unknown categories. Current methods are overly ...

LoD-Loc tackles visual localization w.r.t a scene represented as LoD 3D map. Given a query image and its pose prior, the method utilizes the wireframe of LoD models to recover the camera pose. This ...

Most existing researches achieve image matting via predefined trimap or saliency-guided intermediate segmentation variants, and their essence is providing localization hints for the matting targets.

A new technique enables makers to finely tune the color, shade, and texture of 3D-printed objects using only one material. The method is faster and uses less material than other approaches.