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 1051–1100 of 1576 papers

TitleStatusHype
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection—0
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data—0
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation—0
FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices—0
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy—0
FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View—0
Fast Point R-CNN—0
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Feature Compression for Cloud-Edge Multimodal 3D Object Detection—0
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection—0
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection—0
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps—0
Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights—0
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection—0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
Frustum VoxNet for 3D object detection from RGB-D or Depth images—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection—0
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
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
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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