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
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D ScenesCode1
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object DetectionCode1
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR FeaturesCode1
Radar Voxel Fusion for 3D Object DetectionCode1
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object DetectionCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
RangeDet:In Defense of Range View for LiDAR-based 3D Object DetectionCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
RBGNet: Ray-based Grouping for 3D Object DetectionCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
HVDetFusion: A Simple and Robust Camera-Radar Fusion FrameworkCode1
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object DetectionCode1
ConQueR: Query Contrast Voxel-DETR for 3D Object DetectionCode1
Reliable Student: Addressing Noise in Semi-Supervised 3D Object DetectionCode1
Representation Based Regression for Object Distance EstimationCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Rethinking Voxelization and Classification for 3D Object DetectionCode1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
Attention-based Proposals Refinement for 3D Object DetectionCode1
Fully Sparse Fusion for 3D Object DetectionCode1
Homography Loss for Monocular 3D Object DetectionCode1
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
EPNet: Enhancing Point Features with Image Semantics for 3D Object DetectionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionCode1
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D PerceptionCode1
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point CloudCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
Group-Free 3D Object Detection via TransformersCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
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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