2026
SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features
AAAI 2026technical
In this paper, we present SegDINO3D, a novel Transformer encoder-decoder framework for 3D instance segmentation. As 3D training data is generally not as sufficient as 2D training images, SegDINO3D is designed to fully leverage 2D representation from a pre-trained 2D detection model, including both