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 681690 of 1576 papers

TitleStatusHype
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection0
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System0
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation LogisticsCode1
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection0
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds0
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based PerceptionCode1
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo0
Sparse Dense Fusion for 3D Object Detection0
Show:102550
← PrevPage 69 of 158Next →

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