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 51–100 of 1576 papers

TitleStatusHype
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D ImagesCode2
MonoCD: Monocular 3D Object Detection with Complementary DepthsCode2
MonoDETR: Depth-guided Transformer for Monocular 3D Object DetectionCode2
MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error PriorsCode2
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object DetectionCode2
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance FieldsCode2
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
Objects as PointsCode2
Omni3D: A Large Benchmark and Model for 3D Object Detection in the WildCode2
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
Center-based 3D Object Detection and TrackingCode2
CenterFormer: Center-based Transformer for 3D Object DetectionCode2
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision TransformerCode2
Focal Sparse Convolutional Networks for 3D Object DetectionCode2
Fully Sparse 3D Object DetectionCode2
Generative Sparse Detection Networks for 3D Single-shot Object DetectionCode2
BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkCode2
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-ViewCode2
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object DetectionCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object DetectionCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
DSVT: Dynamic Sparse Voxel Transformer with Rotated SetsCode2
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and BeyondCode2
3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object DetectionCode2
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object DetectionCode2
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object DetectionCode2
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation ModelsCode2
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point CloudsCode2
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
3D Object Detection for Autonomous Driving: A Comprehensive SurveyCode2
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous DrivingCode2
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object DetectionCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object DetectionCode2
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal StereoCode2
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object DetectionCode2
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
LinK3D: Linear Keypoints Representation for 3D LiDAR Point CloudCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
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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