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 11911200 of 1576 papers

TitleStatusHype
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
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union0
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection0
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection0
RankDetNet: Delving Into Ranking Constraints for Object Detection0
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features0
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
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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