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 201–250 of 1576 papers

TitleStatusHype
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsCode1
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene FlowCode1
Calibration-free BEV Representation for Infrastructure PerceptionCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Canadian Adverse Driving Conditions DatasetCode1
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object DetectionCode1
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionCode1
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
Boosting 3D Object Detection via Object-Focused Image FusionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object DetectionCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point CloudCode1
4D-Net for Learned Multi-Modal AlignmentCode1
Group-Free 3D Object Detection via TransformersCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4DeepInteraction-largeNDS0.76—Unverified
5DeepInteraction-eNDS0.76—Unverified
6BEVFusion-eNDS0.76—Unverified
7RacoonPowerNDS0.76—Unverified
8ADS-TEAMNDS0.75—Unverified
9CenterPoint-FusionNDS0.75—Unverified
10UniTRNDS0.75—Unverified