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 1551–1576 of 1576 papers

TitleStatusHype
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object DetectionCode0
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving ScenariosCode0
Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object DetectionCode0
Joint stereo 3D object detection and implicit surface reconstructionCode0
TANet: Robust 3D Object Detection from Point Clouds with Triple AttentionCode0
Doubly Robust Self-TrainingCode0
Task-Aware Monocular Depth Estimation for 3D Object DetectionCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Joint Monocular 3D Vehicle Detection and TrackingCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
UniWorld: Autonomous Driving Pre-training via World ModelsCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Temp-Frustum Net: 3D Object Detection with Temporal FusionCode0
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private SourcesCode0
IoU Loss for 2D/3D Object DetectionCode0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
Distilling Focal Knowledge From Imperfect Expert for 3D Object DetectionCode0
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic SurveillanceCode0
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingCode0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
Unsupervised Domain Adaptation for Self-Driving from Past Traversal FeaturesCode0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
Unsupervised object-centric video generation and decomposition in 3DCode0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Show:102550
← PrevPage 32 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