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 1251–1275 of 1576 papers

TitleStatusHype
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Multi-Class 3D Object Detection with Single-Class Supervision—0
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint—0
Multi-Echo LiDAR for 3D Object Detection—0
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection—0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection—0
Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles—0
Multi-Level Fusion Based 3D Object Detection From Monocular Images—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
Multimodal 3D Object Detection on Unseen Domains—0
Multimodal Object Query Initialization for 3D Object Detection—0
Multi-modal Streaming 3D Object Detection—0
Multi-Object Tracking based on Imaging Radar 3D Object Detection—0
Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection—0
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds—0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection—0
Multi-Sensor 3D Object Box Refinement for Autonomous Driving—0
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Multi-Task Multi-Sensor Fusion for 3D Object Detection—0
Multi-View Attentive Contextualization for Multi-View 3D Object Detection—0
MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection—0
Mutual Information Analysis in Multimodal Learning Systems—0
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge—0
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection—0
Show:102550
← PrevPage 51 of 64Next →
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