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 101110 of 1576 papers

TitleStatusHype
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
Pillar R-CNN for Point Cloud 3D Object DetectionCode2
DSVT: Dynamic Sparse Voxel Transformer with Rotated SetsCode2
Argoverse 2: Next Generation Datasets for Self-Driving Perception and ForecastingCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
MegaPose: 6D Pose Estimation of Novel Objects via Render & CompareCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal FusionCode2
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object DetectionCode2
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence MapsCode2
Show:102550
← PrevPage 11 of 158Next →

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