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 201–225 of 1576 papers

TitleStatusHype
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
Feature Compression for Cloud-Edge Multimodal 3D Object Detection—0
Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection—0
UniDet3D: Multi-dataset Indoor 3D Object DetectionCode2
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object DetectionCode1
Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection—0
Study of Dropout in PointPillars with 3D Object Detection—0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection—0
PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-ViewCode1
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis—0
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection—0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization—0
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles—0
PVAFN: Point-Voxel Attention Fusion Network with Multi-Pooling Enhancing for 3D Object Detection—0
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair NavigationCode0
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection—0
CatFree3D: Category-agnostic 3D Object Detection with Diffusion—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
Detection of Intracranial Hemorrhage for Trauma PatientsCode0
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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