| DEST (based on V-DETR) (TTA) |
- mAP@0.25
- 78.8
- mAP@0.5
- 67.9
|
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 2025-03-18 |
코드 1 |
| UniDet3D |
- mAP@0.25
- 77.5
- mAP@0.5
- 66.1
|
UniDet3D: Multi-dataset Indoor 3D Object Detection 2024-09-06 |
코드 1 |
| V-DETR |
- mAP@0.25
- 77.8
- mAP@0.5
- 65.9
|
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection 2023-08-08 |
코드 1 |
| UDeerMvDETR |
- mAP@0.25
- 78.0
- mAP@0.5
- 65.8
|
MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers 2024-08-13 |
연결 없음 |
| OneFormer3D |
- mAP@0.25
- 76.9
- mAP@0.5
- 65.3
|
OneFormer3D: One Transformer for Unified Point Cloud Segmentation 2023-11-24 |
코드 1 |
| BFL |
- mAP@0.25
- 74.6
- mAP@0.5
- 65.3
|
연결 없음 논문 날짜 미기재 |
연결 없음 |
| Swin3D-L+CAGroup3D |
- mAP@0.25
- 76.4
- mAP@0.5
- 63.2
|
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding 2023-04-14 |
코드 1 · 코드 2 |
| QueryFormer |
- mAP@0.25
- 73.4
- mAP@0.5
- 61.7
|
Query Refinement Transformer for 3D Instance Segmentation 2023-01-01 |
연결 없음 |
| CAGroup3D |
- mAP@0.25
- 75.1
- mAP@0.5
- 61.3
|
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds 2022-10-09 |
코드 1 |
| PBNet |
- mAP@0.25
- 69.3
- mAP@0.5
- 60.1
|
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization 2022-07-22 |
코드 1 |
| SPGroup3D |
- mAP@0.25
- 74.3
- mAP@0.5
- 59.6
|
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection 2023-12-21 |
코드 1 |
| Point-GCC+TR3D |
- mAP@0.25
- 73.1
- mAP@0.5
- 59.6
|
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast 2023-05-31 |
코드 1 |
| SoftGroup |
- mAP@0.25
- 71.6
- mAP@0.5
- 59.4
|
SoftGroup for 3D Instance Segmentation on Point Clouds 2022-03-03 |
코드 1 |
| TR3D |
- mAP@0.25
- 72.9
- mAP@0.5
- 59.3
|
TR3D: Towards Real-Time Indoor 3D Object Detection 2023-02-06 |
연결 없음 |
| DEST (based on GroupFree3D) |
- mAP@0.25
- 71.3
- mAP@0.5
- 58.1
|
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 2025-03-18 |
코드 1 |
| FCAF3D |
- mAP@0.25
- 71.5
- mAP@0.5
- 57.3
|
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection 2021-12-01 |
코드 1 · 코드 2 |
| RBGNet |
- mAP@0.25
- 70.6
- mAP@0.5
- 55.2
|
RBGNet: Ray-based Grouping for 3D Object Detection 2022-04-05 |
코드 1 |
| RepSurf-U |
- mAP@0.25
- 71.2
- mAP@0.5
- 54.8
|
Surface Representation for Point Clouds 2022-05-11 |
코드 1 |
| TokenFusion |
- mAP@0.25
- 70.8
- mAP@0.5
- 54.2
|
Multimodal Token Fusion for Vision Transformers 2022-04-19 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 |
| GroupFree3D |
- mAP@0.25
- 69.1
- mAP@0.5
- 52.8
|
Group-Free 3D Object Detection via Transformers 2021-04-01 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| BRNet |
- mAP@0.25
- 66.1
- mAP@0.5
- 50.9
|
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds 2021-04-13 |
코드 1 |
| 3D-MPA |
- mAP@0.25
- 64.2
- mAP@0.5
- 49.2
|
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation 2020-03-30 |
코드 1 |
| H3DNet |
- mAP@0.25
- 67.2
- mAP@0.5
- 48.1
|
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives 2020-06-10 |
코드 1 · 코드 2 |
| 3DETR-m |
- mAP@0.25
- 65.0
- mAP@0.5
- 47.0
|
An End-to-End Transformer Model for 3D Object Detection 2021-09-16 |
코드 1 |
| VoteNet (PC-FractalDB) |
- mAP@0.25
- 63.4
- mAP@0.5
- 39.9
|
Point Cloud Pre-Training With Natural 3D Structures 2022-01-01 |
코드 1 |
| GSDN |
- mAP@0.25
- 62.8
- mAP@0.5
- 34.8
|
Generative Sparse Detection Networks for 3D Single-shot Object Detection 2020-06-22 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| HGNet |
- mAP@0.25
- 61.3
- mAP@0.5
- 34.4
|
A Hierarchical Graph Network for 3D Object Detection on Point Clouds 2020-06-01 |
연결 없음 |
| VoteNet |
- mAP@0.25
- 58.6
- mAP@0.5
- 33.5
|
Deep Hough Voting for 3D Object Detection in Point Clouds 2019-04-21 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 |
| ImGeoNet (RGB only) |
- mAP@0.25
- 54.8
- mAP@0.5
- 28.4
|
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection 2023-08-17 |
코드 1 |
| ImVoxelNet (RGB only) |
- mAP@0.25
- 48.1
- mAP@0.5
- 22.7
|
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection 2021-06-02 |
코드 1 · 코드 2 |