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 201210 of 1576 papers

TitleStatusHype
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
Deep Hough Voting for 3D Object Detection in Point CloudsCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of FreedomCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
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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