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

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Showing 201–225 of 1576 papers

TitleStatusHype
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point CloudCode1
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
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsCode1
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
Calibration-free BEV Representation for Infrastructure PerceptionCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Canadian Adverse Driving Conditions DatasetCode1
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye ViewCode1
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified