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 1001–1050 of 1576 papers

TitleStatusHype
Robust 3D Object Detection in Cold Weather Conditions—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Towards Model Generalization for Monocular 3D Object Detection—0
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionCode1
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
PillarNet: Real-Time and High-Performance Pillar-based 3D Object DetectionCode2
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Multi-Class 3D Object Detection with Single-Class Supervision—0
Surface Representation for Point CloudsCode2
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection—0
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
Rotationally Equivariant 3D Object Detection—0
TJ4DRadSet: A 4D Radar Dataset for Autonomous DrivingCode2
Focal Sparse Convolutional Networks for 3D Object DetectionCode2
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Spatiality-guided Transformer for 3D Dense Captioning on Point CloudsCode1
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
Multimodal Token Fusion for Vision TransformersCode1
Shape-Aware Monocular 3D Object Detection—0
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR DataCode1
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
HyperDet3D: Learning a Scene-conditioned 3D Object Detector—0
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation—0
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D DetectorsCode1
RBGNet: Ray-based Grouping for 3D Object DetectionCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded ScenesCode1
Homography Loss for Monocular 3D Object DetectionCode1
Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft DatasetCode2
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection—0
Accelerating Federated Edge Learning via Topology Optimization—0
ImpDet: Exploring Implicit Fields for 3D Object Detection—0
A Survey of Robust 3D Object Detection Methods in Point Clouds—0
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation—0
BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object DetectionCode3
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersCode4
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataCode2
LiDAR Snowfall Simulation for Robust 3D Object DetectionCode2
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object DetectionCode1
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Point2Seq: Detecting 3D Objects as SequencesCode1
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
MonoDETR: Depth-guided Transformer for Monocular 3D Object DetectionCode2
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with TransformersCode2
Stereo Neural Vernier CaliperCode1
Show:102550
← PrevPage 21 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