3 accepted papers
Rotated object detection aims to locate and classify objects with arbitrary orientations. In complex backgrounds, small rotated objects with limited salient features present challenges for standard backbones to extract high-quality, discriminative features. Additionally, traditional single-stage det…
Category-level 6D pose and size estimation is to estimate the rotation, translation and size of the observed instance objects from an arbitrary angle in a cluttered scene. Compared with instance-level 6D pose estimation, there are two main challenges for category-level 6D pose estimation. One is tha…
6D pose estimation of objects is an important part of robot grasping. The latest research trend on 6D pose estimation is to train a deep neural network to directly predict the 2D projection position of the 3D key points from the image, establish the corresponding relationship, and finally use Pespec…