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 251–300 of 1576 papers

TitleStatusHype
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object DetectorCode1
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud SequenceCode1
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point CloudsCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersCode1
General Geometry-aware Weakly Supervised 3D Object DetectionCode1
3D Object Detection with PointformerCode1
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object DetectionCode1
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object DetectionCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving ScenariosCode1
AFDet: Anchor Free One Stage 3D Object DetectionCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
A Fast Unified System for 3D Object Detection and TrackingCode1
Fully Sparse Fusion for 3D Object DetectionCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
AeDet: Azimuth-invariant Multi-view 3D Object DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D DetectionCode1
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point DecoderCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
Better Monocular 3D Detectors with LiDAR from the PastCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object DetectionCode1
Benchmarking Robustness of 3D Object Detection to Common CorruptionsCode1
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
Behind the Curtain: Learning Occluded Shapes for 3D Object DetectionCode1
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Back-tracing Representative Points for Voting-based 3D Object Detection in Point CloudsCode1
CubeSLAM: Monocular 3D Object SLAMCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
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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