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 676–700 of 1576 papers

TitleStatusHype
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
Transformer-based stereo-aware 3D object detection from binocular images—0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection—0
Fully Sparse Fusion for 3D Object DetectionCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System—0
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection—0
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation LogisticsCode1
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection—0
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds—0
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based PerceptionCode1
Sparse Dense Fusion for 3D Object Detection—0
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo—0
Curricular Object Manipulation in LiDAR-based Object DetectionCode1
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection—0
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift—0
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene GenerationCode0
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver—0
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object DetectionCode1
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving—0
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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