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 651660 of 1576 papers

TitleStatusHype
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object DetectionCode0
Doubly Robust Self-TrainingCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Distilling Focal Knowledge From Imperfect Expert for 3D Object DetectionCode0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
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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