Cover Image

Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Qianguang, Wang, Dongli, Zhou, Yan, Li, Jianxun, Irampa, Richard
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
by: Li, Zhaoyang, et al.
Published: (2024)

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
by: Liu, Jie, et al.
Published: (2024)

Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

Rethinking Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation
by: Im, Jiyun, et al.
Published: (2025)

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
by: Wang, Changshuo, et al.
Published: (2025)

Query-aware Hub Prototype Learning for Few-Shot 3D Point Cloud Semantic Segmentation
by: Zhou, YiLin, et al.
Published: (2025)

Few-shot Learner Parameterization by Diffusion Time-steps
by: Yue, Zhongqi, et al.
Published: (2024)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
by: Wu, Xiaoxiao, et al.
Published: (2024)

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2025)

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
by: Zhang, Anqi, et al.
Published: (2024)

Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
by: Li, Qun, et al.
Published: (2024)

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
by: An, Zhaochong, et al.
Published: (2025)

Applying ViT in Generalized Few-shot Semantic Segmentation
by: Geng, Liyuan, et al.
Published: (2024)

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
by: Shan, Lianlei, et al.
Published: (2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
by: He, Xuehai, et al.
Published: (2023)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2024)

PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning
by: Wang, Yankai, et al.
Published: (2026)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
by: Su, Meijuan, et al.
Published: (2023)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
by: Wang, Xiang, et al.
Published: (2023)

Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
by: Song, Feifan, et al.
Published: (2026)

Making Large Vision Language Models to be Good Few-shot Learners
by: Liu, Fan, et al.
Published: (2024)

P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning
by: Zhan, Lixin, et al.
Published: (2026)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
by: Tang, Wailing, et al.
Published: (2025)

Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
by: Liu, Chun, et al.
Published: (2024)

OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
by: Lan, Meng, et al.
Published: (2025)

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
by: Li, Xuejing, et al.
Published: (2024)

Semantic Enhanced Few-shot Object Detection
by: Wang, Zheng, et al.
Published: (2024)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)

Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
by: Chen, Xinyue, et al.
Published: (2024)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
by: Liu, Hongli, et al.
Published: (2026)

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
by: Cheng, Cheng, et al.
Published: (2023)