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 651660 of 1576 papers

TitleStatusHype
Learning Occupancy for Monocular 3D Object DetectionCode1
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving0
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion0
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection0
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection0
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection0
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer0
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes0
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Multi-Modal 3D Object Detection by Box MatchingCode1
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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