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
Multi-Modality Task Cascade for 3D Object DetectionCode1
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View UnderstandingCode1
Representation Based Regression for Object Distance EstimationCode1
Real-time 3D Object Detection using Feature Map FlowCode1
Radar Voxel Fusion for 3D Object DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
One Million Scenes for Autonomous Driving: ONCE DatasetCode1
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object DetectionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
Show:102550
← PrevPage 49 of 158Next →

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