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 271280 of 1576 papers

TitleStatusHype
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
A Fast Unified System for 3D Object Detection and TrackingCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object DetectionCode1
AeDet: Azimuth-invariant Multi-view 3D Object DetectionCode1
FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
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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