Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jie, Shen, Jiayi, Zhou, Pan, Sonke, Jan-Jakob, Gavves, Efstratios |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)
by: Yin, Wenzhe, et al.
Published: (2025)
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)
by: Wang, Jin, et al.
Published: (2025)
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
by: Papa, Samuele, et al.
Published: (2023)
by: Papa, Samuele, et al.
Published: (2023)
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
by: Zhao, Qianguang, et al.
Published: (2025)
by: Zhao, Qianguang, et al.
Published: (2025)
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)
by: Zhu, Muzhi, et al.
Published: (2024)
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)
by: Xu, Wenbo, et al.
Published: (2024)
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
by: An, Zhaochong, et al.
Published: (2025)
by: An, Zhaochong, et al.
Published: (2025)
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
by: Moriakov, Nikita, et al.
Published: (2025)
by: Moriakov, Nikita, et al.
Published: (2025)
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
by: Yan, Cilin, et al.
Published: (2024)
by: Yan, Cilin, et al.
Published: (2024)
Applying ViT in Generalized Few-shot Semantic Segmentation
by: Geng, Liyuan, et al.
Published: (2024)
by: Geng, Liyuan, et al.
Published: (2024)
Vision and Language Reference Prompt into SAM for Few-shot Segmentation
by: Sakurai, Kosuke, et al.
Published: (2025)
by: Sakurai, Kosuke, et al.
Published: (2025)
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
by: Li, Qun, et al.
Published: (2024)
by: Li, Qun, et al.
Published: (2024)
VISA: Reasoning Video Object Segmentation via Large Language Models
by: Yan, Cilin, et al.
Published: (2024)
by: Yan, Cilin, et al.
Published: (2024)
Making Large Vision Language Models to be Good Few-shot Learners
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
by: Chen, Jiayi, et al.
Published: (2024)
by: Chen, Jiayi, et al.
Published: (2024)
FLIER: Few-shot Language Image Models Embedded with Latent Representations
by: Zhou, Zhinuo, et al.
Published: (2024)
by: Zhou, Zhinuo, et al.
Published: (2024)
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
by: Wu, Xiaoxiao, et al.
Published: (2024)
by: Wu, Xiaoxiao, et al.
Published: (2024)
Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation
by: Xie, Guohuan, et al.
Published: (2026)
by: Xie, Guohuan, et al.
Published: (2026)
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)
by: An, Zhaochong, et al.
Published: (2024)
Few-shot Adaptation of Medical Vision-Language Models
by: Shakeri, Fereshteh, et al.
Published: (2024)
by: Shakeri, Fereshteh, et al.
Published: (2024)
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
by: Shan, Lianlei, et al.
Published: (2024)
by: Shan, Lianlei, et al.
Published: (2024)
Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
by: Ma, Junyuan, et al.
Published: (2026)
by: Ma, Junyuan, et al.
Published: (2026)
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
by: Zhang, Anqi, et al.
Published: (2024)
by: Zhang, Anqi, et al.
Published: (2024)
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast
by: Hao, Xiaoke, et al.
Published: (2024)
by: Hao, Xiaoke, et al.
Published: (2024)
SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2025)
by: Fan, Chao, et al.
Published: (2025)
Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
by: Song, Feifan, et al.
Published: (2026)
by: Song, Feifan, et al.
Published: (2026)
Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation
by: Chen, Jialei, et al.
Published: (2024)
by: Chen, Jialei, et al.
Published: (2024)
What Makes Good Few-shot Examples for Vision-Language Models?
by: Guo, Zhaojun, et al.
Published: (2024)
by: Guo, Zhaojun, et al.
Published: (2024)
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
by: Su, Meijuan, et al.
Published: (2023)
by: Su, Meijuan, et al.
Published: (2023)
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)
by: An, Zhaochong, et al.
Published: (2024)
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
by: Tang, Wailing, et al.
Published: (2025)
by: Tang, Wailing, et al.
Published: (2025)
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
by: Zhu, Haidong, et al.
Published: (2023)
by: Zhu, Haidong, et al.
Published: (2023)
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
by: He, Xuehai, et al.
Published: (2023)
by: He, Xuehai, et al.
Published: (2023)
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
by: Cheng, Cheng, et al.
Published: (2023)
by: Cheng, Cheng, et al.
Published: (2023)
Semantic Enhanced Few-shot Object Detection
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
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)
CLIP-guided Prototype Modulating for Few-shot Action Recognition
by: Wang, Xiang, et al.
Published: (2023)
by: Wang, Xiang, et al.
Published: (2023)
Similar Items
-
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
by: Liu, Jie, et al.
Published: (2024) -
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
by: Liu, Jie, et al.
Published: (2025) -
Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025) -
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025) -
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
by: Papa, Samuele, et al.
Published: (2023)