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 15111520 of 1576 papers

TitleStatusHype
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D MappingCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep LearningCode0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
CascadeV-Det: Cascade Point Voting for 3D Object DetectionCode0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
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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