| DITR |
- val mIoU
- 41.2
- test mIoU
- 44.9
|
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation 2025-03-24 |
코드 1 |
| ODIN |
- val mIoU
- 40.5
- test mIoU
- 36.8
|
ODIN: A Single Model for 2D and 3D Segmentation 2024-01-04 |
코드 1 |
| PTv3 ArKitLabelmaker |
- val mIoU
- 40.3
- test mIoU
- 41.4
|
ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding 2024-10-17 |
코드 1 |
| BFANet |
- val mIoU
- 37.3
- test mIoU
- 36.0
|
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis 2025-03-16 |
코드 1 |
| Sonata + PTv3 |
- val mIoU
- 36.8
|
Sonata: Self-Supervised Learning of Reliable Point Representations 2025-03-20 |
코드 1 · 코드 2 |
| Pamba |
- val mIoU
- 36.3
- test mIoU
- 37.1
|
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model 2024-06-25 |
연결 없음 |
| PTv3 + PPT |
- val mIoU
- 36.0
- test mIoU
- 39.3
|
Point Transformer V3: Simpler, Faster, Stronger 2023-12-15 |
코드 1 · 코드 2 · 코드 3 |
| OA-CNNs |
- val mIoU
- 33.3
- test mIoU
- 32.3
|
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation 2024-03-21 |
코드 1 |
| LSK3DNet |
- val mIoU
- 33.1
|
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels 2024-03-22 |
코드 1 |
| OctFormer |
- val mIoU
- 32.6
- test mIoU
- 32.5
|
OctFormer: Octree-based Transformers for 3D Point Clouds 2023-05-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| PonderV2 + SparseUNet |
- val mIoU
- 32.3
- test mIoU
- 34.6
|
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm 2023-10-12 |
코드 1 |
| PPT+SparseUNet |
- val mIoU
- 31.9
- test mIoU
- 33.2
|
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training 2023-08-18 |
코드 1 |
| OneFormer3D |
- val mIoU
- 30.1
|
OneFormer3D: One Transformer for Unified Point Cloud Segmentation 2023-11-24 |
코드 1 |
| LGround |
- val mIoU
- 28.8
- test mIoU
- 27.2
|
Language-Grounded Indoor 3D Semantic Segmentation in the Wild 2022-04-16 |
코드 1 |
| CSC |
- val mIoU
- 26.4
- test mIoU
- 24.9
|
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts 2020-12-16 |
코드 1 · 코드 2 |
| MinkUNet |
- val mIoU
- 25.0
- test mIoU
- 25.3
|
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks 2019-04-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |