MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological images
Fuente:
arXiv
Guardado en:
| Autores principales: | Meseguer, Pablo, del Amor, Rocío, Naranjo, Valery |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Initialization matters in few-shot adaptation of vision-language models for histopathological image classification
por: Meseguer, Pablo, et al.
Publicado: (2026)
por: Meseguer, Pablo, et al.
Publicado: (2026)
Zero-shot segmentation of skin tumors in whole-slide images with vision-language foundation models
por: Moreno, Santiago, et al.
Publicado: (2025)
por: Moreno, Santiago, et al.
Publicado: (2025)
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping
por: Meseguer, Pablo, et al.
Publicado: (2025)
por: Meseguer, Pablo, et al.
Publicado: (2025)
Foundation Models for Slide-level Cancer Subtyping in Digital Pathology
por: Meseguer, Pablo, et al.
Publicado: (2024)
por: Meseguer, Pablo, et al.
Publicado: (2024)
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation
por: Carretero, Ilán, et al.
Publicado: (2024)
por: Carretero, Ilán, et al.
Publicado: (2024)
Exploring visual language models as a powerful tool in the diagnosis of Ewing Sarcoma
por: Pastor-Naranjo, Alvaro, et al.
Publicado: (2025)
por: Pastor-Naranjo, Alvaro, et al.
Publicado: (2025)
PathAlign: A vision-language model for whole slide images in histopathology
por: Ahmed, Faruk, et al.
Publicado: (2024)
por: Ahmed, Faruk, et al.
Publicado: (2024)
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?
por: Rahman, Umaima, et al.
Publicado: (2024)
por: Rahman, Umaima, et al.
Publicado: (2024)
Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
por: Ranario, Earl, et al.
Publicado: (2025)
por: Ranario, Earl, et al.
Publicado: (2025)
Attention to detail: inter-resolution knowledge distillation
por: del Amor, Rocío, et al.
Publicado: (2024)
por: del Amor, Rocío, et al.
Publicado: (2024)
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
por: Winter, Dominik, et al.
Publicado: (2024)
por: Winter, Dominik, et al.
Publicado: (2024)
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
por: Li, Yaohui, et al.
Publicado: (2024)
por: Li, Yaohui, et al.
Publicado: (2024)
Few-shot adaptation for morphology-independent cell instance segmentation
por: Zaveri, Ram J., et al.
Publicado: (2024)
por: Zaveri, Ram J., et al.
Publicado: (2024)
Zero-shot image privacy classification with Vision-Language Models
por: Baia, Alina Elena, et al.
Publicado: (2025)
por: Baia, Alina Elena, et al.
Publicado: (2025)
Few-shot Adaptation of Medical Vision-Language Models
por: Shakeri, Fereshteh, et al.
Publicado: (2024)
por: Shakeri, Fereshteh, et al.
Publicado: (2024)
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
por: Liu, Hong, et al.
Publicado: (2024)
por: Liu, Hong, et al.
Publicado: (2024)
FedDropoutAvg: Generalizable federated learning for histopathology image classification
por: Gunesli, Gozde N., et al.
Publicado: (2021)
por: Gunesli, Gozde N., et al.
Publicado: (2021)
Few-shot crack image classification using clip based on bayesian optimization
por: Zhang, Yingchao, et al.
Publicado: (2025)
por: Zhang, Yingchao, et al.
Publicado: (2025)
Vision and Language Reference Prompt into SAM for Few-shot Segmentation
por: Sakurai, Kosuke, et al.
Publicado: (2025)
por: Sakurai, Kosuke, et al.
Publicado: (2025)
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models
por: Alom, Md Zahangir, et al.
Publicado: (2024)
por: Alom, Md Zahangir, et al.
Publicado: (2024)
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
por: Zhang, Bodong, et al.
Publicado: (2023)
por: Zhang, Bodong, et al.
Publicado: (2023)
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
por: Zanella, Maxime, et al.
Publicado: (2024)
por: Zanella, Maxime, et al.
Publicado: (2024)
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model
por: Li, Yuanwei, et al.
Publicado: (2024)
por: Li, Yuanwei, et al.
Publicado: (2024)
Making Large Vision Language Models to be Good Few-shot Learners
por: Liu, Fan, et al.
Publicado: (2024)
por: Liu, Fan, et al.
Publicado: (2024)
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
por: Wang, Jin, et al.
Publicado: (2025)
por: Wang, Jin, et al.
Publicado: (2025)
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
por: He, Xuehai, et al.
Publicado: (2023)
por: He, Xuehai, et al.
Publicado: (2023)
What Makes Good Few-shot Examples for Vision-Language Models?
por: Guo, Zhaojun, et al.
Publicado: (2024)
por: Guo, Zhaojun, et al.
Publicado: (2024)
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
por: Cheng, Cheng, et al.
Publicado: (2023)
por: Cheng, Cheng, et al.
Publicado: (2023)
Inter- and Intra-image Refinement for Few Shot Segmentation
por: Fu, Ourui, et al.
Publicado: (2025)
por: Fu, Ourui, et al.
Publicado: (2025)
Selective Vision-Language Subspace Projection for Few-shot CLIP
por: Zhu, Xingyu, et al.
Publicado: (2024)
por: Zhu, Xingyu, et al.
Publicado: (2024)
Object-level Correlation for Few-Shot Segmentation
por: Wen, Chunlin, et al.
Publicado: (2025)
por: Wen, Chunlin, et al.
Publicado: (2025)
Retrieval-enriched zero-shot image classification in low-resource domains
por: Dall'Asen, Nicola, et al.
Publicado: (2024)
por: Dall'Asen, Nicola, et al.
Publicado: (2024)
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
por: Westfechtel, Thomas, et al.
Publicado: (2023)
por: Westfechtel, Thomas, et al.
Publicado: (2023)
Semi-Supervised Few-Shot Adaptation of Vision-Language Models
por: Silva-Rodríguez, Julio, et al.
Publicado: (2026)
por: Silva-Rodríguez, Julio, et al.
Publicado: (2026)
Low-Rank Few-Shot Adaptation of Vision-Language Models
por: Zanella, Maxime, et al.
Publicado: (2024)
por: Zanella, Maxime, et al.
Publicado: (2024)
Revisiting Few-Shot Object Detection with Vision-Language Models
por: Madan, Anish, et al.
Publicado: (2023)
por: Madan, Anish, et al.
Publicado: (2023)
Few-shot Object Localization
por: Ren, Yunhan, et al.
Publicado: (2024)
por: Ren, Yunhan, et al.
Publicado: (2024)
Few-shot Algorithm Assurance
por: Nguyen, Dang, et al.
Publicado: (2024)
por: Nguyen, Dang, et al.
Publicado: (2024)
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
por: Li, Yuheng, et al.
Publicado: (2025)
por: Li, Yuheng, et al.
Publicado: (2025)
Impact of domain adaptation in deep learning for medical image classifications
por: Wu, Yihang, et al.
Publicado: (2026)
por: Wu, Yihang, et al.
Publicado: (2026)
Ejemplares similares
-
Initialization matters in few-shot adaptation of vision-language models for histopathological image classification
por: Meseguer, Pablo, et al.
Publicado: (2026) -
Zero-shot segmentation of skin tumors in whole-slide images with vision-language foundation models
por: Moreno, Santiago, et al.
Publicado: (2025) -
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping
por: Meseguer, Pablo, et al.
Publicado: (2025) -
Foundation Models for Slide-level Cancer Subtyping in Digital Pathology
por: Meseguer, Pablo, et al.
Publicado: (2024) -
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation
por: Carretero, Ilán, et al.
Publicado: (2024)