Cover Image

Study of Dropout in PointPillars with 3D Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Xiaoxiang, Fox, Geoffrey
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mixed Precision PointPillars for Efficient 3D Object Detection with TensorRT
by: Fuengfusin, Ninnart, et al.
Published: (2026)

TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
by: Calvo, Ernesto Lozano, et al.
Published: (2023)

UOD: Unseen Object Detection in 3D Point Cloud
by: Choi, Hyunjun, et al.
Published: (2024)

Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
by: Zhang, Miao, et al.
Published: (2025)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
by: Zhao, Hong, et al.
Published: (2024)

Multimodal Object Query Initialization for 3D Object Detection
by: van Geerenstein, Mathijs R., et al.
Published: (2023)

Optimized CNNs for Rapid 3D Point Cloud Object Recognition
by: Lyu, Tianyi, et al.
Published: (2024)

Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection
by: Huang, Yuhao, et al.
Published: (2023)

Generative Autoencoding of Dropout Patterns
by: Maeda, Shunta
Published: (2023)

Fine-tuning with Very Large Dropout
by: Zhang, Jianyu, et al.
Published: (2024)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds
by: Jiang, Yanze, et al.
Published: (2025)

Methodology for an Analysis of Influencing Factors on 3D Object Detection Performance
by: Kuznietsov, Anton, et al.
Published: (2024)

ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
by: Ghita, Ahmed, et al.
Published: (2024)

Spectral Wavelet Dropout: Regularization in the Wavelet Domain
by: Cakaj, Rinor, et al.
Published: (2024)

PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
by: Xu, Weisheng, et al.
Published: (2024)

SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
by: Wolters, Philipp, et al.
Published: (2024)

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
by: Nozarian, Farzad, et al.
Published: (2024)

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
by: Lu, Yan, et al.
Published: (2023)

RadarPillars: Efficient Object Detection from 4D Radar Point Clouds
by: Musiat, Alexander, et al.
Published: (2024)

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
by: Song, Heda, et al.
Published: (2019)

Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
by: Sadeghian, Reza, et al.
Published: (2025)

Detecting What Matters: A Novel Approach for Out-of-Distribution 3D Object Detection in Autonomous Vehicles
by: Taha, Menna, et al.
Published: (2025)

TRec: Learning Hand-Object Interactions through 2D Point Track Motion
by: Holzmann, Dennis, et al.
Published: (2026)

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
by: Riedlinger, Tobias J., et al.
Published: (2025)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
by: Sathiyanarayanan, Shriram M, et al.
Published: (2025)

False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
by: Oh, Jiyong, et al.
Published: (2024)

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring
by: Sanchez, Raul David Dominguez, et al.
Published: (2025)

Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions
by: Pettersen, Fox, et al.
Published: (2026)

2.5D Object Detection for Intelligent Roadside Infrastructure
by: Polley, Nikolai, et al.
Published: (2025)

Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
by: Feng, Chen, et al.
Published: (2026)

PAN: Pillars-Attention-Based Network for 3D Object Detection
by: Bispo, Ruan, et al.
Published: (2025)

PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
by: Kashefi, Ali
Published: (2024)

TAPIP3D: Tracking Any Point in Persistent 3D Geometry
by: Zhang, Bowei, et al.
Published: (2025)

Vision-based Lifting of 2D Object Detections for Automated Driving
by: Königshof, Hendrik, et al.
Published: (2025)

Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
by: Crasto, Nieves
Published: (2024)

A Study on Real-time Object Detection using Deep Learning
by: Bose, Ankita, et al.
Published: (2026)

Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
by: Santos, Jamie, et al.
Published: (2023)

Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
by: Khurana, Mehar, et al.
Published: (2024)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
by: Qu, Zhan, et al.
Published: (2025)