HyperAI
HyperAI
Accueil
Actualités
Articles de recherche récents
Tutoriels
Ensembles de données
Wiki
SOTA
Modèles LLM
Classement GPU
Événements
Recherche
À propos
Français
HyperAI
HyperAI
Toggle sidebar
Rechercher sur le site...
⌘
K
Accueil
SOTA
Détection d'objets en 3D
3D Object Detection On Kitti Cars Moderate 1
3D Object Detection On Kitti Cars Moderate 1
Métriques
AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
AP
Paper Title
Repository
MV3D
62.68
Multi-View 3D Object Detection Network for Autonomous Driving
-
M3DeTR
85.41
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
-
PC-RGNN
81.43
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
-
F-PointNet [Qi:2018fd]
69.28
Frustum PointNets for 3D Object Detection from RGB-D Data
-
SVGA-Net
80.23
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
-
PGD
18.34
Probabilistic and Geometric Depth: Detecting Objects in Perspective
-
Voxel R-CNN
84.52
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
-
Deformable PV-RCNN
83.3
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
-
PV-RCNN++
84.83
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
-
PVCNN
71.54
Point-Voxel CNN for Efficient 3D Deep Learning
-
SA-SSD+EBM
86.83
Accurate 3D Object Detection using Energy-Based Models
-
0 of 11 row(s) selected.
Previous
Next
3D Object Detection On Kitti Cars Moderate 1 | SOTA | HyperAI