Imagen de Portada

Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Shitao, Zhang, Haolin, Zheng, Nanning
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
por: Fang, Jin, et al.
Publicado: (2023)

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
por: Zhou, Sifan, et al.
Publicado: (2024)

A New Adversarial Perspective for LiDAR-based 3D Object Detection
por: Zheng, Shijun, et al.
Publicado: (2024)

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
por: Zhang, Ruixiao, et al.
Publicado: (2024)

Enhancing LiDAR Point Features with Foundation Model Priors for 3D Object Detection
por: Mo, Yujian, et al.
Publicado: (2025)

RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis
por: Wang, Zhaoxuan, et al.
Publicado: (2024)

Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection
por: Wang, Chaoqun, et al.
Publicado: (2025)

LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
por: Fan, Bohao, et al.
Publicado: (2023)

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
por: Fruhwirth-Reisinger, Christian, et al.
Publicado: (2024)

BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection
por: Zhang, Guowen, et al.
Publicado: (2025)

LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking
por: Teye, Martha Teiko, et al.
Publicado: (2025)

LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection
por: Chen, Jinyin, et al.
Publicado: (2024)

Inconsistency-based Active Learning for LiDAR Object Detection
por: Rivera, Esteban, et al.
Publicado: (2025)

Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection
por: Ding, Rui, et al.
Publicado: (2026)

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
por: Chandorkar, Adwait, et al.
Publicado: (2025)

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

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
por: Kumar, Aakash, et al.
Publicado: (2024)

Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
por: Wu, Yang, et al.
Publicado: (2024)

Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection
por: Lee, Minseung, et al.
Publicado: (2024)

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
por: Zhang, Junge, et al.
Publicado: (2023)

Imaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling
por: Somasundaram, Siddharth, et al.
Publicado: (2026)

Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
por: Rozsa, Z., et al.
Publicado: (2026)

POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
por: Shi, Yining, et al.
Publicado: (2025)

ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
por: Shen, Yanqing, et al.
Publicado: (2025)

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

Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object Detection
por: Yang, Yiran, et al.
Publicado: (2024)

Annotation-Free Detection of Drivable Areas and Curbs Leveraging LiDAR Point Cloud Maps
por: Ma, Fulong, et al.
Publicado: (2026)

Weather-Conditioned Branch Routing for Robust LiDAR-Radar 3D Object Detection
por: Li, Hongsheng, et al.
Publicado: (2026)

Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
por: Deng, Jianning, et al.
Publicado: (2023)

LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
por: Zheng, Zehan, et al.
Publicado: (2024)

BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization
por: Saucedo, Mario A. V., et al.
Publicado: (2024)

Enhancing Pseudo-Boxes via Data-Level LiDAR-Camera Fusion for Unsupervised 3D Object Detection
por: Ji, Mingqian, et al.
Publicado: (2025)

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
por: Yang, Yuxue, et al.
Publicado: (2024)

MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems
por: Chaturvedi, Saket S., et al.
Publicado: (2025)

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
por: Cui, Yunge, et al.
Publicado: (2022)

SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection
por: Zhang, Hongcheng, et al.
Publicado: (2024)

Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection
por: Fu, Jiahui, et al.
Publicado: (2024)

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
por: Wei, Haiyun, et al.
Publicado: (2025)

An Investigation of Beam Density on LiDAR Object Detection Performance
por: Griesbacher, Christoph, et al.
Publicado: (2025)

SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
por: Zhao, Yun, et al.
Publicado: (2024)