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

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Showing 591–600 of 1576 papers

TitleStatusHype
PV-SSD: A Multi-Modal Point Cloud Feature Fusion Method for Projection Features and Variable Receptive Field Voxel Features—0
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object DetectionCode1
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar—0
An Empirical Analysis of Range for 3D Object Detection—0
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object DetectionCode1
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
PARTNER: Level up the Polar Representation for LiDAR 3D Object DetectionCode1
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
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Benchmark Results

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