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 651–700 of 1576 papers

TitleStatusHype
Doubly Robust Self-TrainingCode0
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging EnvironmentsCode0
SBNet: Sparse Blocks Network for Fast InferenceCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Distilling Focal Knowledge From Imperfect Expert for 3D Object DetectionCode0
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object DetectionCode0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and PrunableCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
Shape Anchor Guided Holistic Indoor Scene UnderstandingCode0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
Detection of Intracranial Hemorrhage for Trauma PatientsCode0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
Aerial Monocular 3D Object DetectionCode0
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
Joint stereo 3D object detection and implicit surface reconstructionCode0
Joint Monocular 3D Vehicle Detection and TrackingCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
Pragmatic Communication in Multi-Agent Collaborative PerceptionCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
IoU Loss for 2D/3D Object DetectionCode0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X OrchestrationCode0
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object DetectionCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point CloudsCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
3D Object Detection from Point Cloud via Voting Step DiffusionCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

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