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 651–675 of 1576 papers

TitleStatusHype
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and PrunableCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Distilling Focal Knowledge From Imperfect Expert for 3D Object DetectionCode0
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
SBNet: Sparse Blocks Network for Fast InferenceCode0
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object DetectionCode0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
Detection of Intracranial Hemorrhage for Trauma PatientsCode0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
Pragmatic Communication in Multi-Agent Collaborative PerceptionCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
Aerial Monocular 3D Object DetectionCode0
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified