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 631640 of 1576 papers

TitleStatusHype
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D MappingCode0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object DetectionCode0
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and PrunableCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
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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