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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 1576 papers

TitleStatusHype
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
PointPainting: Sequential Fusion for 3D Object DetectionCode1
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise BinarizationCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of FreedomCode1
3D Cascade RCNN: High Quality Object Detection in Point CloudsCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
M3DSSD: Monocular 3D Single Stage Object DetectorCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object DetectionCode1
Objects are Different: Flexible Monocular 3D Object DetectionCode1
DSGN: Deep Stereo Geometry Network for 3D Object DetectionCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
3D Small Object Detection with Dynamic Spatial PruningCode1
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against CorruptionsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View UnderstandingCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR DataCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera ScenariosCode1
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye ViewCode1
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object DetectionCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
Canadian Adverse Driving Conditions DatasetCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Show:102550
← PrevPage 9 of 32Next →
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
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified