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 1001–1050 of 1576 papers

TitleStatusHype
Disentangling Monocular 3D Object Detection—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries—0
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection—0
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training—0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis—0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving—0
DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection—0
DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization—0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision—0
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning—0
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L—0
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting—0
EffiPerception: an Efficient Framework for Various Perception Tasks—0
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection—0
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds—0
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Show:102550
← PrevPage 21 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
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