HyperAI

3D Object Detection On Sun Rgbd Val

المقاييس

mAP@0.25
mAP@0.5

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
mAP@0.25
mAP@0.5
Paper TitleRepository
V-DETR68.051.1V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2)45.0-3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images-
COG+surface51.0-3D Object Detection With Latent Support Surfaces-
DEST (based on V-DETR) (TTA)69.252.2--
CAGroup3D(Geo only)66.850.2CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
BRNet(Geo only)61.143.7Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
DEST (based on GroupFree3D)65.348.4--
HGNet (Geo only)61.6-A Hierarchical Graph Network for 3D Object Detection on Point Clouds-
RBGNet(Geo only)64.147.2RBGNet: Ray-based Grouping for 3D Object Detection
COG+surface+context54.3-Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts-
Frustum VoxNet (+3D ResNetFCN6)37.7-Frustum VoxNet for 3D object detection from RGB-D or Depth images-
H3DNet60.139.0H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
VoteNet (PC-FractalDB)60.235.2Point Cloud Pre-Training With Natural 3D Structures
TR3D (Geo only)67.150.4TR3D: Towards Real-Time Indoor 3D Object Detection
2D-driven45.1-2D-Driven 3D Object Detection in RGB-D Images-
GroupFree3D(Geo only)63.045.2Group-Free 3D Object Detection via Transformers
Frustum VoxNet (YOLO v3+3D ResNetFCN6)--Frustum VoxNet for 3D object detection from RGB-D or Depth images-
TR3D+FF69.453.4TR3D: Towards Real-Time Indoor 3D Object Detection
Point-GCC+TR3D+FF69.754.0Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
DeMF67.451.2Boosting 3D Object Detection via Object-Focused Image Fusion
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