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 431440 of 1576 papers

TitleStatusHype
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
Attention-based Proposals Refinement for 3D Object DetectionCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified