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 851–900 of 1576 papers

TitleStatusHype
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds—0
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection—0
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data—0
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation—0
FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices—0
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy—0
FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View—0
Fast Point R-CNN—0
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Feature Compression for Cloud-Edge Multimodal 3D Object Detection—0
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection—0
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights—0
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection—0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
Frustum VoxNet for 3D object detection from RGB-D or Depth images—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection—0
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—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