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 1401–1425 of 1576 papers

TitleStatusHype
RoIFusion: 3D Object Detection from LiDAR and Vision—0
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding—0
Rotationally Equivariant 3D Object Detection—0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Rotation-robust Intersection over Union for 3D Object Detection—0
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection—0
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations—0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding—0
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality—0
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving—0
Safety-Aware Hardening of 3D Object Detection Neural Network Systems—0
SAM-Guided Masked Token Prediction for 3D Scene Understanding—0
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans—0
Scatter Points in Space: 3D Detection from Multi-view Monocular Images—0
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—0
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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