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 1401–1450 of 1576 papers

TitleStatusHype
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling—0
Unsupervised object-centric video generation and decomposition in 3DCode0
Local Grid Rendering Networks for 3D Object Detection in Point Clouds—0
Optimisation of the PointPillars network for 3D object detection in point clouds—0
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection—0
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds—0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction—0
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data—0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
SS3D: Single Shot 3D Object Detector—0
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud—0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
Learning to Evaluate Perception Models Using Planner-Centric Metrics—0
ALCN: Adaptive Local Contrast Normalization—0
Quantifying Data Augmentation for LiDAR based 3D Object Detection—0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
Improving 3D Object Detection through Progressive Population Based Augmentation—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Safety-Aware Hardening of 3D Object Detection Neural Network Systems—0
Real-time 3D object proposal generation and classification under limited processing resources—0
Adapting Object Detectors with Conditional Domain Normalization—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image—0
3D Object Detection From LiDAR Data Using Distance Dependent Feature ExtractionCode0
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection—0
Deep Learning on Radar Centric 3D Object Detection—0
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface—0
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving—0
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots—0
SESS: Self-Ensembling Semi-Supervised 3D Object DetectionCode0
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure SensorsCode0
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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