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 941950 of 1576 papers

TitleStatusHype
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise BinarizationCode1
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object DetectionCode1
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionCode2
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
Omni3D: A Large Benchmark and Model for 3D Object Detection in the WildCode2
Boosting 3D Object Detection via Object-Focused Image FusionCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
Multimodal Transformer for Automatic 3D Annotation and Object DetectionCode1
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations0
On the Robustness of 3D Object Detectors0
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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