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 1001–1025 of 1576 papers

TitleStatusHype
PV-SSD: A Multi-Modal Point Cloud Feature Fusion Method for Projection Features and Variable Receptive Field Voxel Features—0
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar—0
An Empirical Analysis of Range for 3D Object Detection—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
MonoNext: A 3D Monocular Object Detection with ConvNext—0
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View—0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
R2Det: Redemption from Range-view for Accurate 3D Object Detection—0
Improving Online Lane Graph Extraction by Object-Lane Clustering—0
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar—0
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection—0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning—0
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection—0
SUIT: Learning Significance-guided Information for 3D Temporal Detection—0
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds—0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion—0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection—0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection—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