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 1301–1350 of 1576 papers

TitleStatusHype
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud—0
Probabilistic and Geometric Depth: Detecting Objects in Perspective—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
Multi-Echo LiDAR for 3D Object Detection—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars—0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection—0
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features—0
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union—0
RankDetNet: Delving Into Ranking Constraints for Object Detection—0
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection—0
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection—0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China—0
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systemsCode0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Temp-Frustum Net: 3D Object Detection with Temporal FusionCode0
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
3D-MAN: 3D Multi-frame Attention Network for Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
X-view: Non-egocentric Multi-View 3D Object Detector—0
Stereo Object Matching Network—0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset—0
Stereo CenterNet based 3D Object Detection for Autonomous Driving—0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
MapFusion: A General Framework for 3D Object Detection with HDMaps—0
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
Offboard 3D Object Detection from Point Cloud Sequences—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
Pseudo-labeling for Scalable 3D Object Detection—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
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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