SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yuqi, Dong, Junhao, Dong, Zeyu, Yang, Chuanguang, An, Zhulin, Xu, Yongjun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
Relational Diffusion Distillation for Efficient Image Generation
by: Feng, Weilun, et al.
Published: (2024)
by: Feng, Weilun, et al.
Published: (2024)
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
by: Yang, Chuanguang, et al.
Published: (2025)
by: Yang, Chuanguang, et al.
Published: (2025)
Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)
by: Huang, Libo, et al.
Published: (2024)
CLIP-KD: An Empirical Study of CLIP Model Distillation
by: Yang, Chuanguang, et al.
Published: (2023)
by: Yang, Chuanguang, et al.
Published: (2023)
S$^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
by: Feng, Weilun, et al.
Published: (2025)
by: Feng, Weilun, et al.
Published: (2025)
Efficient Continual Learning through Frequency Decomposition and Integration
by: Liu, Ruiqi, et al.
Published: (2025)
by: Liu, Ruiqi, et al.
Published: (2025)
MultiAnimate: Pose-Guided Image Animation Made Extensible
by: Hu, Yingcheng, et al.
Published: (2026)
by: Hu, Yingcheng, et al.
Published: (2026)
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
by: Feng, Weilun, et al.
Published: (2025)
by: Feng, Weilun, et al.
Published: (2025)
Multi-party Collaborative Attention Control for Image Customization
by: Yang, Han, et al.
Published: (2025)
by: Yang, Han, et al.
Published: (2025)
MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification
by: Li, Jiarui, et al.
Published: (2024)
by: Li, Jiarui, et al.
Published: (2024)
Parameterized Prompt for Incremental Object Detection
by: An, Zijia, et al.
Published: (2025)
by: An, Zijia, et al.
Published: (2025)
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
by: Feng, Weilun, et al.
Published: (2025)
by: Feng, Weilun, et al.
Published: (2025)
Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation
by: Wu, Mingqiang, et al.
Published: (2026)
by: Wu, Mingqiang, et al.
Published: (2026)
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
by: Feng, Weilun, et al.
Published: (2025)
by: Feng, Weilun, et al.
Published: (2025)
Quantized Visual Geometry Grounded Transformer
by: Feng, Weilun, et al.
Published: (2025)
by: Feng, Weilun, et al.
Published: (2025)
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
by: Li, Yuqi, et al.
Published: (2024)
by: Li, Yuqi, et al.
Published: (2024)
Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
by: He, Pei, et al.
Published: (2025)
by: He, Pei, et al.
Published: (2025)
WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
by: Feng, Weilun, et al.
Published: (2026)
by: Feng, Weilun, et al.
Published: (2026)
PrePrompt: Predictive prompting for class incremental learning
by: Huang, Libo, et al.
Published: (2025)
by: Huang, Libo, et al.
Published: (2025)
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
by: Chen, Zisheng, et al.
Published: (2023)
by: Chen, Zisheng, et al.
Published: (2023)
Relation3D: Enhancing Relation Modeling for Point Cloud Instance Segmentation
by: Lu, Jiahao, et al.
Published: (2025)
by: Lu, Jiahao, et al.
Published: (2025)
Hard-Label Black-Box Attacks on 3D Point Clouds
by: Liu, Daizong, et al.
Published: (2024)
by: Liu, Daizong, et al.
Published: (2024)
GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Query-aware Hub Prototype Learning for Few-Shot 3D Point Cloud Semantic Segmentation
by: Zhou, YiLin, et al.
Published: (2025)
by: Zhou, YiLin, et al.
Published: (2025)
FugSeg: Fast Uncertainty-aware Ground Segmentation for 3D Point Cloud
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
by: Hai, Luu Tung, et al.
Published: (2025)
by: Hai, Luu Tung, et al.
Published: (2025)
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
by: Feng, Weilun, et al.
Published: (2024)
by: Feng, Weilun, et al.
Published: (2024)
Toward Availability Attacks in 3D Point Clouds
by: Zhu, Yifan, et al.
Published: (2024)
by: Zhu, Yifan, et al.
Published: (2024)
On-the-Fly Object-aware Representative Point Selection in Point Cloud
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
Dataset Distillation of 3D Point Clouds via Distribution Matching
by: Yim, Jae-Young, et al.
Published: (2025)
by: Yim, Jae-Young, et al.
Published: (2025)
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
by: Su, Yuanzhi, et al.
Published: (2024)
by: Su, Yuanzhi, et al.
Published: (2024)
Towards Category Unification of 3D Single Object Tracking on Point Clouds
by: Nie, Jiahao, et al.
Published: (2024)
by: Nie, Jiahao, et al.
Published: (2024)
Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
Relative Difficulty Distillation for Semantic Segmentation
by: Liang, Dong, et al.
Published: (2024)
by: Liang, Dong, et al.
Published: (2024)
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection
by: Huang, Yuhao, et al.
Published: (2023)
by: Huang, Yuhao, et al.
Published: (2023)
Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation
by: Zhou, Kaiyue, et al.
Published: (2023)
by: Zhou, Kaiyue, et al.
Published: (2023)
Similar Items
-
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025) -
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025) -
Relational Diffusion Distillation for Efficient Image Generation
by: Feng, Weilun, et al.
Published: (2024) -
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
by: Yang, Chuanguang, et al.
Published: (2025) -
Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model
by: Wang, Yu, et al.
Published: (2026)