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 451–500 of 1576 papers

TitleStatusHype
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection—0
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
End-to-End 3D Object Detection using LiDAR Point Cloud—0
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds—0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
Pre-trained Trojan Attacks for Visual Recognition—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers—0
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object DetectionCode1
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—0
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset—0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
Language-Assisted 3D Scene Understanding—0
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object DetectionCode1
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V—0
Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion—0
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object DetectionCode1
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning—0
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
Weakly Supervised 3D Object Detection via Multi-Level Visual GuidanceCode1
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops—0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline—0
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated VehiclesCode1
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionCode0
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach—0
PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection—0
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder—0
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Point Cloud Self-supervised Learning via 3D to Multi-view Masked AutoencoderCode1
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object DetectionCode3
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Refining the ONCE Benchmark with Hyperparameter Tuning—0
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features—0
FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion—0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion—0
mmFUSION: Multimodal Fusion for 3D Objects Detection—0
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
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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