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 601610 of 1576 papers

TitleStatusHype
MonoNext: A 3D Monocular Object Detection with ConvNext0
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object DetectionCode2
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative PerceptionCode1
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
PG-RCNN: Semantic Surface Point Generation for 3D Object DetectionCode1
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object DetectionCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
HVDetFusion: A Simple and Robust Camera-Radar Fusion FrameworkCode1
R2Det: Redemption from Range-view for Accurate 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