SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

Showing 911920 of 1576 papers

TitleStatusHype
Exploring Geometric Consistency for Monocular 3D Object Detection0
Global Hierarchical Attention for 3D Point Cloud Analysis0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection0
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection0
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds0
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified