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 211220 of 1576 papers

TitleStatusHype
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye ViewCode1
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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