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 10711080 of 1576 papers

TitleStatusHype
DisARM: Displacement Aware Relation Module for 3D Detection0
Deep Camera Pose Regression Using Pseudo-LiDAR0
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR0
Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection0
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques0
Semi-supervised 3D Object Detection via Temporal Graph Neural 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