Imagen de Portada

FLIER: Few-shot Language Image Models Embedded with Latent Representations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Zhinuo, Zhou, Peng, Pan, Xiaoyong
Formato:	Preprint
Publicado:	2024
Materias:	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

FishAI 2.0: Marine Fish Image Classification with Multi-modal Few-shot Learning
por: Yang, Chenghan, et al.
Publicado: (2025)

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

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

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

Making Large Vision Language Models to be Good Few-shot Learners
por: Liu, Fan, 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)

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
por: Zhou, Junjie, et al.
Publicado: (2025)

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
por: Zhang, Ximiao, et al.
Publicado: (2024)

Few-shot Adaptation of Medical Vision-Language Models
por: Shakeri, Fereshteh, et al.
Publicado: (2024)

CLIP's Visual Embedding Projector is a Few-shot Cornucopia
por: Fahes, Mohammad, et al.
Publicado: (2024)

Hierarchical Compositional Representations for Few-shot Action Recognition
por: Li, Changzhen, et al.
Publicado: (2022)

Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
por: Zhou, Jiawei, et al.
Publicado: (2024)

Few-shot Defect Image Generation based on Consistency Modeling
por: Shi, Qingfeng, et al.
Publicado: (2024)

SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
por: Dai, Zhewei, et al.
Publicado: (2024)

Few-shot Adaptation of Multi-modal Foundation Models: A Survey
por: Liu, Fan, et al.
Publicado: (2024)

Towards Few-shot Out-of-Distribution Detection
por: Dong, Jiuqing, et al.
Publicado: (2023)

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
por: Lai, Bolin, et al.
Publicado: (2024)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
por: Zhao, Lin, et al.
Publicado: (2024)

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
por: Brokman, Jonathan, et al.
Publicado: (2025)

What Makes Good Few-shot Examples for Vision-Language Models?
por: Guo, Zhaojun, et al.
Publicado: (2024)

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

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

Few-shot Image Generation via Masked Discrimination
por: Zhu, Jingyuan, et al.
Publicado: (2022)

FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model
por: Li, Yuanwei, et al.
Publicado: (2024)

UniFS: Universal Few-shot Instance Perception with Point Representations
por: Jin, Sheng, et al.
Publicado: (2024)

Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
por: Fan, Keqiang, et al.
Publicado: (2024)

Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
por: Zhuang, Zhenfeng, et al.
Publicado: (2025)

CF-Font: Content Fusion for Few-shot Font Generation
por: Wang, Chi, et al.
Publicado: (2023)

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
por: Guo, Kaiyu, et al.
Publicado: (2025)

A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models
por: Huang, Hao, et al.
Publicado: (2025)

Clustered-patch Element Connection for Few-shot Learning
por: Lai, Jinxiang, et al.
Publicado: (2023)

Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
por: Zhao, Qianguang, et al.
Publicado: (2025)

Benchmarking Vision-Language and Multimodal Large Language Models in Zero-shot and Few-shot Scenarios: A study on Christian Iconography
por: Spinaci, Gianmarco, et al.
Publicado: (2025)

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
por: Liu, Mushui, et al.
Publicado: (2024)

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
por: Guo, Qianyu, et al.
Publicado: (2025)

Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
por: Cao, Congqi, et al.
Publicado: (2024)

TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation
por: Zhang, Ruicheng, et al.
Publicado: (2024)

DiffCLIP: Few-shot Language-driven Multimodal Classifier
por: Zhang, Jiaqing, et al.
Publicado: (2024)

Vision and Language Reference Prompt into SAM for Few-shot Segmentation
por: Sakurai, Kosuke, et al.
Publicado: (2025)

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
por: Jin, Xin, et al.
Publicado: (2024)