Imagen de Portada

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hou, Shihao, Shang, Xinyi, Gowda, Shreyank N, Lu, Yang, Wu, Chao, Yan, Yan, Wang, Hanzi
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment
por: Shao, Maoyuan, et al.
Publicado: (2026)

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
por: Liu, Hezhao, et al.
Publicado: (2025)

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
por: Hou, Shihao, et al.
Publicado: (2026)

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models
por: Guo, Boyang, et al.
Publicado: (2026)

Transitive Vision-Language Prompt Learning for Domain Generalization
por: Wang, Liyuan, et al.
Publicado: (2024)

Distribution-Based Masked Medical Vision-Language Model Using Structured Reports
por: Gowda, Shreyank N, et al.
Publicado: (2025)

Adversarial Robustness in Zero-Shot Learning:An Empirical Study on Class and Concept-Level Vulnerabilities
por: Peng, Zhiyuan, et al.
Publicado: (2025)

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
por: Ding, Hu, et al.
Publicado: (2025)

Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
por: Gowda, Shreyank N, et al.
Publicado: (2025)

Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals
por: Akinrele, Akindoyin, et al.
Publicado: (2026)

Anyone Can Jailbreak: Prompt-Based Attacks on LLMs and T2Is
por: Mustafa, Ahmed B, et al.
Publicado: (2025)

Interpretable Zero-shot Learning with Infinite Class Concepts
por: Ye, Zihan, et al.
Publicado: (2025)

CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
por: Gowda, Shreyank N, et al.
Publicado: (2024)

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
por: Gowda, Shreyank N, et al.
Publicado: (2024)

Telling Stories for Common Sense Zero-Shot Action Recognition
por: Gowda, Shreyank N, et al.
Publicado: (2023)

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
por: Gahir, Amar, et al.
Publicado: (2026)

Continual Learning Improves Zero-Shot Action Recognition
por: Gowda, Shreyank N, et al.
Publicado: (2024)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
por: Sathiyanarayanan, Shriram M, et al.
Publicado: (2025)

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval
por: Gowda, Shreyank N, et al.
Publicado: (2025)

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques
por: Gowda, Shreyank N, et al.
Publicado: (2024)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
por: Liu, Yijie, et al.
Publicado: (2025)

Compression as an Adversarial Amplifier Through Decision Space Reduction
por: Evans, Lewis, et al.
Publicado: (2026)

FE-Adapter: Adapting Image-based Emotion Classifiers to Videos
por: Gowda, Shreyank N, et al.
Publicado: (2024)

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
por: Li, Haoyang, et al.
Publicado: (2025)

Class Confidence Aware Reweighting for Long Tailed Learning
por: Jagati, Brainard Philemon, et al.
Publicado: (2026)

LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions
por: Jia, Yongju, et al.
Publicado: (2025)

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning
por: Zhang, Ruichi, et al.
Publicado: (2026)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
por: Li, Mengke, et al.
Publicado: (2024)

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning
por: Liu, Hezhao, et al.
Publicado: (2026)

ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning
por: Ye, Zihan, et al.
Publicado: (2026)

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
por: Gowda, Shreyank N, et al.
Publicado: (2023)

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
por: Yan, Shanshan, et al.
Publicado: (2025)

Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters
por: Mustafa, Ahmed B, et al.
Publicado: (2026)

An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models
por: Luo, Hanrui, et al.
Publicado: (2026)

Long-Tailed Distribution-Aware Router For Mixture-of-Experts in Large Vision-Language Model
por: Cai, Chaoxiang, et al.
Publicado: (2025)

Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
por: Yan, Jiexuan, et al.
Publicado: (2024)

Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models
por: Li, Haoyang, et al.
Publicado: (2025)

Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification
por: Zhang, Yukang, et al.
Publicado: (2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
por: Shi, Jiang-Xin, et al.
Publicado: (2023)

FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models
por: Li, Haoyang, et al.
Publicado: (2026)