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

Showing 101125 of 1576 papers

TitleStatusHype
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object DetectionCode2
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object DetectionCode2
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object DetectionCode2
Objects as PointsCode2
Center-based 3D Object Detection and TrackingCode2
OctFormer: Octree-based Transformers for 3D Point CloudsCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
OPEN: Object-wise Position Embedding for Multi-view 3D Object DetectionCode2
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point CloudsCode2
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality PropagationCode2
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and BeyondCode2
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point CloudsCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
DeepInteraction: 3D Object Detection via Modality InteractionCode2
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAMCode2
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object DetectionCode2
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelCode2
Argoverse 2: Next Generation Datasets for Self-Driving Perception and ForecastingCode2
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine PerceptionCode2
BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified