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 481490 of 1576 papers

TitleStatusHype
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object DetectionCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
4D-Net for Learned Multi-Modal AlignmentCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 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