Cover Image

Frozen Feature Augmentation for Few-Shot Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bär, Andreas, Houlsby, Neil, Dehghani, Mostafa, Kumar, Manoj
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations
by: Kumar, Manoj, et al.
Published: (2024)

Scaling Open-Vocabulary Object Detection
by: Minderer, Matthias, et al.
Published: (2023)

Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Qiu, Shulei, et al.
Published: (2024)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
by: Shi, Kexuan, et al.
Published: (2025)

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
by: Roberts, Jonathan, et al.
Published: (2024)

Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
by: Sterner, Igor, et al.
Published: (2024)

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
by: Scius-Bertrand, Anna, et al.
Published: (2024)

Multimodal CLIP Inference for Meta-Few-Shot Image Classification
by: Ferragu, Constance, et al.
Published: (2024)

Learning to Adapt Category Consistent Meta-Feature of CLIP for Few-Shot Classification
by: Shi, Jiaying, et al.
Published: (2024)

Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
by: Xiong, Conghao, et al.
Published: (2025)

Class-relevant Patch Embedding Selection for Few-Shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)

Learning to Obstruct Few-Shot Image Classification over Restricted Classes
by: Zheng, Amber Yijia, et al.
Published: (2024)

Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)

Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
by: Nema, Parinita, et al.
Published: (2025)

Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification
by: Yang, Xi, et al.
Published: (2024)

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
by: Xiang, Tianqi, et al.
Published: (2025)

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
by: Chen, Wenchen, et al.
Published: (2025)

Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification
by: Ji, Zhong, et al.
Published: (2026)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
by: Chi, Zhixiang, et al.
Published: (2025)

A Feature Generator for Few-Shot Learning
by: Kanagalingam, Heethanjan, et al.
Published: (2024)

Eliminating Feature Ambiguity for Few-Shot Segmentation
by: Xu, Qianxiong, et al.
Published: (2024)

Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
by: Kumar, Saorj, et al.
Published: (2025)

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
by: Rashid, Md. Safirur, et al.
Published: (2026)

Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)

Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images
by: Sekhar, Ardhendu, et al.
Published: (2024)

MPA: Multimodal Prototype Augmentation for Few-Shot Learning
by: Wu, Liwen, et al.
Published: (2026)

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
by: Li, Yayuan, et al.
Published: (2024)

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
by: Xu, Jiahao, et al.
Published: (2026)

Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)

Harnessing the Power of Local Representations for Few-Shot Classification
by: Tang, Shi, et al.
Published: (2024)

Improving Fungi Prototype Representations for Few-Shot Classification
by: Traore, Abdarahmane, et al.
Published: (2025)

LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
by: Wang, Maofa, et al.
Published: (2024)

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
by: Fu, Kexue, et al.
Published: (2024)

Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights
by: Sekhar, Ardhendu, et al.
Published: (2024)

Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
by: Meng, Tian, et al.
Published: (2024)

Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Luo, Ning, et al.
Published: (2025)

Improved Few-Shot Image Classification Through Multiple-Choice Questions
by: Khullar, Dipika, et al.
Published: (2024)

Boosting Few-Shot Learning via Attentive Feature Regularization
by: Zhu, Xingyu, et al.
Published: (2024)

Slot Attention-based Feature Filtering for Few-Shot Learning
by: Rodenas, Javier, et al.
Published: (2025)

Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
by: Badawi, Maged, et al.
Published: (2024)