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 1201–1250 of 1576 papers

TitleStatusHype
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds—0
Label-Guided Auxiliary Training Improves 3D Object DetectorCode0
Computer Vision Aided mmWave Beam Alignment in V2X CommunicationsCode0
On the Robustness of 3D Object Detectors—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Real-Time And Robust 3D Object Detection with Roadside LiDARs—0
MT-Net Submission to the Waymo 3D Detection Leaderboard—0
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds—0
ORA3D: Overlap Region Aware Multi-view 3D Object Detection—0
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds—0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?—0
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes—0
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
Delving into the Pre-training Paradigm of Monocular 3D Object Detection—0
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving—0
SparseDet: Towards End-to-End 3D Object Detection—0
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection—0
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset—0
Robust 3D Object Detection in Cold Weather Conditions—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Towards Model Generalization for Monocular 3D Object Detection—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Multi-Class 3D Object Detection with Single-Class Supervision—0
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection—0
Rotationally Equivariant 3D Object Detection—0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Shape-Aware Monocular 3D Object Detection—0
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
HyperDet3D: Learning a Scene-conditioned 3D Object Detector—0
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation—0
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection—0
Accelerating Federated Edge Learning via Topology Optimization—0
A Survey of Robust 3D Object Detection Methods in Point Clouds—0
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation—0
ImpDet: Exploring Implicit Fields for 3D Object Detection—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection—0
CVFNet: Real-time 3D Object Detection by Learning Cross View Features—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection—0
DisARM: Displacement Aware Relation Module for 3D Detection—0
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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
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