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 801810 of 1576 papers

TitleStatusHype
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions0
LAM3D: Leveraging Attention for Monocular 3D Object Detection0
2D-Driven 3D Object Detection in RGB-D Images0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization0
3D Adversarial Augmentations for Robust Out-of-Domain Predictions0
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks0
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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