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 451–475 of 1576 papers

TitleStatusHype
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D ScenesCode1
Part-Aware Data Augmentation for 3D Object Detection in Point CloudCode1
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDARCode1
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty PropagationCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object DetectionCode1
Open-Vocabulary Point-Cloud Object Detection without 3D AnnotationCode1
RIDERS: Radar-Infrared Depth Estimation for Robust SensingCode1
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object DetectionCode1
ConQueR: Query Contrast Voxel-DETR for 3D Object DetectionCode1
Attention-based Proposals Refinement for 3D Object DetectionCode1
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionCode1
Multi-Modal 3D Object Detection by Box MatchingCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Exploring Data Augmentation for Multi-Modality 3D Object DetectionCode1
Multi-Modality Task Cascade for 3D Object DetectionCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
Multimodal Virtual Point 3D DetectionCode1
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
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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