Copertina

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Yuguang, Chen, Tongfei, Huang, Haoyu, Yang, Linlin, Xie, Chunyu, Leng, Dawei, Cao, Xianbin, Zhang, Baochang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
di: Chen, Tongfei, et al.
Pubblicazione: (2026)

Uncertainty-Aware Gradient Stabilization for Small Object Detection
di: Sun, Huixin, et al.
Pubblicazione: (2023)

P4Q: Learning to Prompt for Quantization in Visual-language Models
di: Sun, Huixin, et al.
Pubblicazione: (2024)

Noise-Robust Tiny Object Localization with Flows
di: Sun, Huixin, et al.
Pubblicazione: (2026)

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
di: Huang, Haoyu, et al.
Pubblicazione: (2026)

Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
di: Wang, Ziming, et al.
Pubblicazione: (2023)

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
di: Wang, Bin, et al.
Pubblicazione: (2024)

Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
di: Pei, Haoran, et al.
Pubblicazione: (2025)

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
di: Xie, Chunyu, et al.
Pubblicazione: (2025)

UrbanGS: A Scalable and Efficient Architecture for Geometrically Accurate Large-Scene Reconstruction
di: Li, Changbai, et al.
Pubblicazione: (2026)

Prefill-Guided Thinking for zero-shot detection of AI-generated images
di: Kachwala, Zoher, et al.
Pubblicazione: (2025)

LMM-Det: Make Large Multimodal Models Excel in Object Detection
di: Li, Jincheng, et al.
Pubblicazione: (2025)

Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
di: Ranario, Earl, et al.
Pubblicazione: (2025)

Large language models can be zero-shot anomaly detectors for time series?
di: Alnegheimish, Sarah, et al.
Pubblicazione: (2024)

Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
di: Pei, Haoran, et al.
Pubblicazione: (2026)

DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration
di: Yang, Yuguang, et al.
Pubblicazione: (2024)

RzenEmbed: Towards Comprehensive Multimodal Retrieval
di: Jian, Weijian, et al.
Pubblicazione: (2025)

Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models
di: Xing, Songlong, et al.
Pubblicazione: (2026)

TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
di: Yang, Jiaqi, et al.
Pubblicazione: (2024)

LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification
di: Du, Zhicheng, et al.
Pubblicazione: (2024)

Generation-Augmented Generation: A Plug-and-Play Framework for Private Knowledge Injection in Large Language Models
di: Li, Rongji, et al.
Pubblicazione: (2026)

PromptTea: Let Prompts Tell TeaCache the Optimal Threshold
di: Huang, Zishen, et al.
Pubblicazione: (2025)

InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models
di: Zhou, Shuchang, et al.
Pubblicazione: (2025)

FG-CLIP: Fine-Grained Visual and Textual Alignment
di: Xie, Chunyu, et al.
Pubblicazione: (2025)

Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation
di: Chirkova, Nadezhda, et al.
Pubblicazione: (2023)

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
di: Sushil, Madhumita, et al.
Pubblicazione: (2024)

Beyond the Hype: A dispassionate look at vision-language models in medical scenario
di: Nan, Yang, et al.
Pubblicazione: (2024)

Which images to label for few-shot medical landmark detection?
di: Quan, Quan, et al.
Pubblicazione: (2021)

Uncovering inequalities in new knowledge learning by large language models across different languages
di: Wang, Chenglong, et al.
Pubblicazione: (2025)

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
di: Richter-Pechanski, Phillip, et al.
Pubblicazione: (2024)

On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
di: Zanella, Maxime, et al.
Pubblicazione: (2024)

Video models are zero-shot learners and reasoners
di: Wiedemer, Thaddäus, et al.
Pubblicazione: (2025)

Zero‐shot insect detection via weak language supervision
di: Benjamin Feuer, et al.
Pubblicazione: (2024)

Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
di: Rong, Jintao, et al.
Pubblicazione: (2023)

Hierarchically Robust Zero-shot Vision-language Models
di: Dong, Junhao, et al.
Pubblicazione: (2026)

Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies
di: Torre, Leon-Paul Schaub, et al.
Pubblicazione: (2024)

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
di: Zhang, Boxiang, et al.
Pubblicazione: (2026)

HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction
di: Li, Changbai, et al.
Pubblicazione: (2025)

From static to adaptive: immune memory-based jailbreak detection for large language models
di: Leng, Jun, et al.
Pubblicazione: (2025)

COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
di: Humblot-Renaux, Galadrielle, et al.
Pubblicazione: (2025)