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 351–400 of 1576 papers

TitleStatusHype
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial AttacksCode1
FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object DetectionCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object DetectionCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
A Fast Unified System for 3D Object Detection and TrackingCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
3D Object Detection with PointformerCode1
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
MonoNeRD: NeRF-like Representations for Monocular 3D Object DetectionCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object DetectionCode1
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
Show:102550
← PrevPage 8 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
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