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 626–650 of 1576 papers

TitleStatusHype
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging EnvironmentsCode0
CascadeV-Det: Cascade Point Voting for 3D Object DetectionCode0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
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
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object DetectionCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object DetectionCode0
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
Bridged Transformer for Vision and Point Cloud 3D Object DetectionCode0
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private SourcesCode0
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systemsCode0
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic SurveillanceCode0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionCode0
Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object DetectionCode0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

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