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 1251–1300 of 1576 papers

TitleStatusHype
Dense Voxel Fusion for 3D Object Detection—0
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection—0
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
Survey and Systematization of 3D Object Detection Models and Methods—0
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection—0
DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets—0
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm—0
Dimension Embeddings for Monocular 3D Object Detection—0
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving—0
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds—0
Revisiting 3D Object Detection From an Egocentric Perspective—0
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection—0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Open-set 3D Object Detection—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection—0
ePose: Let's Make EfficientPose More Generally ApplicableCode0
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection—0
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion—0
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection—0
Joint stereo 3D object detection and implicit surface reconstructionCode0
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection—0
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection—0
Improved Pillar with Fine-grained Feature for 3D Object Detection—0
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
3D Object Detection Combining Semantic and Geometric Features from Point Clouds—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
Digging Into Output Representation for Monocular 3D Object Detection—0
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection—0
Automatic Map Update Using Dashcam Videos—0
Traffic-Net: 3D Traffic Monitoring Using a Single Camera—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection—0
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network—0
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization—0
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation—0
Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling—0
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection—0
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review—0
Show:102550
← PrevPage 26 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
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