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 651–675 of 1576 papers

TitleStatusHype
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
An Overview Of 3D Object Detection—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection—0
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving—0
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection—0
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection—0
EffiPerception: an Efficient Framework for Various Perception Tasks—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting—0
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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