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 941950 of 1576 papers

TitleStatusHype
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar0
Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection0
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS0
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding0
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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