3D instance segmentation aims to predict a set of ob- ject instances in a scene and represent them as binary fore- ground masks with corresponding semantic ...

We propose a Query Refinement Transformer termed QueryFormer. The key to our approach is to exploit a query initialization module to optimize the ...

Extensive experiments on ScanNetV2 and S3DIS datasets show that our QueryFormer can surpass state-of-the-art 3D instance segmentation methods. Published in ...

The key to our approach is to exploit a query initialization module to optimize the initial- ization process for the query distribution with a high cov- erage ...

The query competition layer utilizes two distinct sets of static embeddings to capture these relationships and fuses them with the instance query semantic ...

Built upon the classic architecture of the transformer-based 3DIS model, our model takes 3D scenes and directly infers instance masks. Our model consists of ...

Query Refinement. Transformer decoder starts with K instance queries, and refines them through a stack of L Transformer decoder layers to a final ...

7 нояб. 2022 г. · This paper proposes a novel end-to-end 3D instance segmentation method based on Superpoint Transformer, named as SPFormer.

Abstract: Recently, transformer-based methods have dominated 3D instance segmentation, where mask attention is commonly involved.

✓ First transformer-based model. ✓ No need for highly 3D specific ... Refined Instance Queries. 3D Instances. Method. mAP. mAP. 50. mAP. 25. Runtime. (in ...