Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhou, Kaiyue, Dong, Ming, Zhi, Peiyuan, Wang, Shengjin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
por: Zhou, Kaiyue, et al.
Publicado: (2025)
por: Zhou, Kaiyue, et al.
Publicado: (2025)
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
por: Wang, Zhenyu, et al.
Publicado: (2024)
por: Wang, Zhenyu, et al.
Publicado: (2024)
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
por: Saito, Ayumu, et al.
Publicado: (2024)
por: Saito, Ayumu, et al.
Publicado: (2024)
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
por: Jiang, Jincen, et al.
Publicado: (2024)
por: Jiang, Jincen, et al.
Publicado: (2024)
PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
por: Liu, Yun, et al.
Publicado: (2024)
por: Liu, Yun, et al.
Publicado: (2024)
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
por: He, Qingdong, et al.
Publicado: (2024)
por: He, Qingdong, et al.
Publicado: (2024)
Representation Learning for Point Cloud Understanding
por: Yan, Siming
Publicado: (2025)
por: Yan, Siming
Publicado: (2025)
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
por: Zha, Yixin, et al.
Publicado: (2025)
por: Zha, Yixin, et al.
Publicado: (2025)
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding
por: Liu, Yunze, et al.
Publicado: (2024)
por: Liu, Yunze, et al.
Publicado: (2024)
PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification
por: Zheng, Qiang, et al.
Publicado: (2024)
por: Zheng, Qiang, et al.
Publicado: (2024)
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
por: Yu, Xinxing, et al.
Publicado: (2026)
por: Yu, Xinxing, et al.
Publicado: (2026)
Point-In-Context: Understanding Point Cloud via In-Context Learning
por: Liu, Mengyuan, et al.
Publicado: (2024)
por: Liu, Mengyuan, et al.
Publicado: (2024)
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
por: Liu, Keyi, et al.
Publicado: (2024)
por: Liu, Keyi, et al.
Publicado: (2024)
Efficient Point Cloud Classification via Offline Distillation Framework and Negative-Weight Self-Distillation Technique
por: Zheng, Qiang, et al.
Publicado: (2024)
por: Zheng, Qiang, et al.
Publicado: (2024)
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
por: Sun, Hongyu, et al.
Publicado: (2025)
por: Sun, Hongyu, et al.
Publicado: (2025)
Unsupervised Point Cloud Registration with Self-Distillation
por: Löwens, Christian, et al.
Publicado: (2024)
por: Löwens, Christian, et al.
Publicado: (2024)
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
por: Sun, Hongyu, et al.
Publicado: (2024)
por: Sun, Hongyu, et al.
Publicado: (2024)
Deformation-based In-Context Learning for Point Cloud Understanding
por: Lin, Chengxing, et al.
Publicado: (2026)
por: Lin, Chengxing, et al.
Publicado: (2026)
Optimized CNNs for Rapid 3D Point Cloud Object Recognition
por: Lyu, Tianyi, et al.
Publicado: (2024)
por: Lyu, Tianyi, et al.
Publicado: (2024)
Manifold-Aware Point Cloud Completion via Geodesic-Attentive Hierarchical Feature Learning
por: Sun, Jianan, et al.
Publicado: (2025)
por: Sun, Jianan, et al.
Publicado: (2025)
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos
por: Zuo, Zhi, et al.
Publicado: (2025)
por: Zuo, Zhi, et al.
Publicado: (2025)
Point2Vec for Self-Supervised Representation Learning on Point Clouds
por: Knaebel, Karim, et al.
Publicado: (2023)
por: Knaebel, Karim, et al.
Publicado: (2023)
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
por: Li, Jihe, et al.
Publicado: (2024)
por: Li, Jihe, et al.
Publicado: (2024)
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
por: Su, Yuanzhi, et al.
Publicado: (2024)
por: Su, Yuanzhi, et al.
Publicado: (2024)
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
por: Zhang, Jichuan, et al.
Publicado: (2024)
por: Zhang, Jichuan, et al.
Publicado: (2024)
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
por: Pu, Yujiang, et al.
Publicado: (2023)
por: Pu, Yujiang, et al.
Publicado: (2023)
Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
por: Jiang, Jincen, et al.
Publicado: (2026)
por: Jiang, Jincen, et al.
Publicado: (2026)
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding
por: Pan, Zhiyi, et al.
Publicado: (2024)
por: Pan, Zhiyi, et al.
Publicado: (2024)
Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
por: Yang, Bin, et al.
Publicado: (2026)
por: Yang, Bin, et al.
Publicado: (2026)
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
por: Liu, Jie, et al.
Publicado: (2024)
por: Liu, Jie, et al.
Publicado: (2024)
SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation
por: Li, Yuqi, et al.
Publicado: (2025)
por: Li, Yuqi, et al.
Publicado: (2025)
Hierarchical Feature Learning for Medical Point Clouds via State Space Model
por: Zhang, Guoqing, et al.
Publicado: (2025)
por: Zhang, Guoqing, et al.
Publicado: (2025)
Point Cloud Mamba: Point Cloud Learning via State Space Model
por: Zhang, Tao, et al.
Publicado: (2024)
por: Zhang, Tao, et al.
Publicado: (2024)
Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation
por: Zhou, Yiran, et al.
Publicado: (2025)
por: Zhou, Yiran, et al.
Publicado: (2025)
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
por: Zhang, Tunhou, et al.
Publicado: (2022)
por: Zhang, Tunhou, et al.
Publicado: (2022)
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
por: Zha, Yaohua, et al.
Publicado: (2025)
por: Zha, Yaohua, et al.
Publicado: (2025)
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
por: Camuffo, Elena, et al.
Publicado: (2023)
por: Camuffo, Elena, et al.
Publicado: (2023)
Deep Learning based Joint Geometry and Attribute Up-sampling for Large-Scale Colored Point Clouds
por: Zhang, Yun, et al.
Publicado: (2025)
por: Zhang, Yun, et al.
Publicado: (2025)
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
por: Li, Abiao, et al.
Publicado: (2024)
por: Li, Abiao, et al.
Publicado: (2024)
LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point Cloud Active Learning
por: Li, Chenxi, et al.
Publicado: (2025)
por: Li, Chenxi, et al.
Publicado: (2025)
Ejemplares similares
-
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
por: Zhou, Kaiyue, et al.
Publicado: (2025) -
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
por: Wang, Zhenyu, et al.
Publicado: (2024) -
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
por: Saito, Ayumu, et al.
Publicado: (2024) -
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
por: Jiang, Jincen, et al.
Publicado: (2024) -
PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
por: Liu, Yun, et al.
Publicado: (2024)