Image de couverture de livre

MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Resani, Hossein, Nasihatkon, Behrooz
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
par: Resani, Hossein, et autres
Publié: (2024)

ToosiCubix: Monocular 3D Cuboid Labeling via Vehicle Part Annotations
par: Nasihatkon, Behrooz, et autres
Publié: (2025)

Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
par: Rostami, Sara Hatami, et autres
Publié: (2025)

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
par: Sun, Hongyu, et autres
Publié: (2024)

Modeling Continuous Motion for 3D Point Cloud Object Tracking
par: Luo, Zhipeng, et autres
Publié: (2023)

A Continuous-Time Consistency Model for 3D Point Cloud Generation
par: Eilermann, Sebastian, et autres
Publié: (2025)

Robust Fine-tuning for Pre-trained 3D Point Cloud Models
par: Zhang, Zhibo, et autres
Publié: (2024)

Point Cloud Mamba: Point Cloud Learning via State Space Model
par: Zhang, Tao, et autres
Publié: (2024)

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds
par: Lo, Yui, et autres
Publié: (2024)

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
par: Schröppel, Philipp, et autres
Publié: (2023)

Mitigating Prior Shape Bias in Point Clouds via Differentiable Center Learning
par: Li, Zhe, et autres
Publié: (2024)

Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
par: Qi, Chao, et autres
Publié: (2025)

3D Geometric Shape Assembly via Efficient Point Cloud Matching
par: Lee, Nahyuk, et autres
Publié: (2024)

PKSS-Align: Robust Point Cloud Registration on Pre-Kendall Shape Space
par: Lv, Chenlei, et autres
Publié: (2025)

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
par: Lee, Donghyun, et autres
Publié: (2025)

APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
par: Jung, Geunyoung, et autres
Publié: (2026)

Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds
par: Fan, Xianzhe, et autres
Publié: (2026)

Robust Partial 3D Point Cloud Registration via Confidence Estimation under Global Context
par: Wang, Yongqiang, et autres
Publié: (2025)

Multimodal Robust Prompt Distillation for 3D Point Cloud Models
par: Gu, Xiang, et autres
Publié: (2025)

HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
par: Du, Keyu, et autres
Publié: (2025)

Med-PU: Point Cloud Upsampling for High-Fidelity 3D Medical Shape Reconstruction
par: Zhang, Tongxu, et autres
Publié: (2025)

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation
par: You, Lechun, et autres
Publié: (2025)

CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction
par: Lan, Wenhao, et autres
Publié: (2024)

Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
par: Wu, Lintai, et autres
Publié: (2024)

Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features
par: Ning, Xiaoyang, et autres
Publié: (2024)

Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
par: Yang, Chuanxiang, et autres
Publié: (2024)

SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
par: Lin, Yu, et autres
Publié: (2024)

Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
par: Patalano, Mariafrancesca, et autres
Publié: (2026)

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
par: Dastmalchi, Hamidreza, et autres
Publié: (2024)

Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds
par: Weijler, Lisa, et autres
Publié: (2025)

Memory-Efficient Point Cloud Registration via Overlapping Region Sampling
par: Shimada, Tomoyasu, et autres
Publié: (2024)

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
par: Zha, Yaohua, et autres
Publié: (2024)

3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
par: Galaaoui, Salma, et autres
Publié: (2025)

Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
par: Alonso, Pedro, et autres
Publié: (2026)

Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
par: Zhang, Yifan, et autres
Publié: (2024)

Dataset Distillation of 3D Point Clouds via Distribution Matching
par: Yim, Jae-Young, et autres
Publié: (2025)

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
par: Sun, Shuofeng, et autres
Publié: (2024)

Deep Learning for 3D Point Cloud Enhancement: A Survey
par: Quan, Siwen, et autres
Publié: (2024)

Point-In-Context: Understanding Point Cloud via In-Context Learning
par: Liu, Mengyuan, et autres
Publié: (2024)

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
par: Li, Mengke, et autres
Publié: (2024)