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 1526–1550 of 1576 papers

TitleStatusHype
Accurate Single Stage Detector Using Recurrent Rolling ConvolutionCode0
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR dataCode0
Weak-to-Strong 3D Object Detection with X-Ray DistillationCode0
Stereo R-CNN based 3D Object Detection for Autonomous DrivingCode0
XC: Exploring Quantitative Use Cases for Explanations in 3D Object DetectionCode0
STONE: A Submodular Optimization Framework for Active 3D Object DetectionCode0
Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object DetectionCode0
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene GenerationCode0
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
What You See is What You Get: Exploiting Visibility for 3D Object DetectionCode0
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample SelectionCode0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object DetectionCode0
Learning Permutation Invariant Representations using Memory NetworksCode0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsCode0
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionCode0
DPOD: 6D Pose Object Detector and RefinerCode0
Bridged Transformer for Vision and Point Cloud 3D Object DetectionCode0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
Label-Guided Auxiliary Training Improves 3D Object DetectorCode0
Show:102550
← PrevPage 62 of 64Next →
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