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

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Showing 1501–1550 of 1576 papers

TitleStatusHype
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex PolytopeCode0
Aerial Monocular 3D Object DetectionCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
Triangulation Learning Network: from Monocular to Stereo 3D Object DetectionCode0
Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionCode0
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object DetectionCode0
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction SitesCode0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D MappingCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep LearningCode0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
CascadeV-Det: Cascade Point Voting for 3D Object DetectionCode0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal FusionCode0
Uncertainty-Aware AB3DMOT by Variational 3D Object DetectionCode0
KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous drivingCode0
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises LossCode0
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
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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