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 851–900 of 1576 papers

TitleStatusHype
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes—0
A General Pipeline for 3D Detection of Vehicles—0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
ALCN: Adaptive Local Contrast Normalization—0
A Light Perspective for 3D Object Detection—0
An Empirical Analysis of Range for 3D Object Detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
An Overview Of 3D Object Detection—0
Anytime-Lidar: Deadline-aware 3D Object Detection—0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames—0
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
A Review of 3D Object Detection with Vision-Language Models—0
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection—0
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection—0
A Survey for Foundation Models in Autonomous Driving—0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
A Survey of Robust 3D Object Detection Methods in Point Clouds—0
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
A two-stage data association approach for 3D Multi-object Tracking—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection—0
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds—0
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection—0
Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis—0
Automatic Map Update Using Dashcam Videos—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance—0
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks—0
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo—0
MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos—0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection—0
BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection—0
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds—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