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 901–950 of 1576 papers

TitleStatusHype
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS—0
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds—0
FYI: Flip Your Images for Dataset Distillation—0
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection—0
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*—0
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues—0
Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting—0
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection—0
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection—0
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
Global Hierarchical Attention for 3D Point Cloud Analysis—0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection—0
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates—0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection—0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds—0
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs—0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection—0
Group Equivariant BEV for 3D Object Detection—0
Group Regression for Query Based Object Detection and Tracking—0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
Hashmod: A Hashing Method for Scalable 3D Object Detection—0
HDNET: Exploiting HD Maps for 3D Object Detection—0
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles—0
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection—0
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View—0
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection—0
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection—0
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection—0
Hyperbolic Cosine Transformer for LiDAR 3D Object Detection—0
HyperDet3D: Learning a Scene-conditioned 3D Object Detector—0
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection—0
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds—0
IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection—0
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection—0
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
ImpDet: Exploring Implicit Fields for 3D Object Detection—0
Implicit Surface Contrastive Clustering for LiDAR Point Clouds—0
Improved Pillar with Fine-grained Feature for 3D Object Detection—0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation—0
Improving 3D Object Detection through Progressive Population Based Augmentation—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