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 1251–1300 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
MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion—0
MVX-Net: Multimodal VoxelNet for 3D Object Detection—0
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis—0
NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection—0
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving—0
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection—0
Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection—0
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots—0
Object-Aware Centroid Voting for Monocular 3D Object Detection—0
Object-Centric Stereo Matching for 3D Object Detection—0
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding—0
ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation—0
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
OcTr: Octree-based Transformer for 3D Object Detection—0
Offboard 3D Object Detection from Point Cloud Sequences—0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection—0
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection—0
On Offline Evaluation of 3D Object Detection for Autonomous Driving—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—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