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 176–200 of 1576 papers

TitleStatusHype
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
3D Cascade RCNN: High Quality Object Detection in Point CloudsCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene FlowCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU SupervisionCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Boosting 3D Object Detection via Object-Focused Image FusionCode1
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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