| Full name | A Unified Query-based Paradigm for Point Cloud Understanding |
| Description | EQ-Net is a variant of SparseConv U-Net under the Embedding-Querying (EQ) paradigm. We develop EQ-Net with EQ-Paradigm based on the sparse U-Net by keeping the sparseconv encoder as our embedding network and adopting the Q-Net to extract the features for each point. |
| Publication title | A Unified Query-based Paradigm for Point Cloud Understanding |
| Publication authors | Zetong Yang*, Li Jiang*, Yanan Sun, Bernt Schiele, Jiaya JIa |
| Publication venue | CVPR 2022 |
| Publication URL | https://arxiv.org/pdf/2203.01252.pdf |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python with CUDA |
| Hardware | Titan Xp |
| Source code or download URL | https://github.com/dvlab-research/DeepVision3D |
| Submission creation date | 16 Nov, 2021 |
| Last edited | 12 May, 2022 |