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 701–750 of 1576 papers

TitleStatusHype
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
An Empirical Analysis of Range for 3D Object Detection—0
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization—0
Hierarchical Point Attention for Indoor 3D Object Detection—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation—0
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception—0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
MLOD: A multi-view 3D object detection based on robust feature fusion method—0
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training—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
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework—0
Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection—0
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection—0
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System—0
Disentangling Monocular 3D Object Detection—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds—0
A Light Perspective for 3D Object Detection—0
DisARM: Displacement Aware Relation Module for 3D Detection—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
ALCN: Adaptive Local Contrast Normalization—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
Dimension Embeddings for Monocular 3D Object Detection—0
Digging Into Output Representation for Monocular 3D Object Detection—0
BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection—0
Diffusion-based 3D Object Detection with Random Boxes—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation—0
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection—0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection—0
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning—0
Show:102550
← PrevPage 15 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