Cover Image

Rethinking the Sample Relations for Few-Shot Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Guowei, Huang, Sheng, Huangfu, Luwen, Zhang, Yi, Zhang, Xiaohong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
by: Wang, Yijie, et al.
Published: (2024)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
by: Huang, Wenbo, et al.
Published: (2024)

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

Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
by: Zhang, Tiange, et al.
Published: (2024)

SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
by: Fang, Heng, et al.
Published: (2024)

Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
by: Carrión-Ojeda, Dustin, et al.
Published: (2025)

Topology-Aware CLIP Few-Shot Learning
by: Huang, Dazhi
Published: (2025)

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

Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
by: Durante, Zane, et al.
Published: (2024)

Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)

Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
by: Dimitrovski, Ivica, et al.
Published: (2025)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
by: Di, Kexin, et al.
Published: (2025)

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
by: Zhang, Zhenyu, et al.
Published: (2025)

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
by: Mitra, Chancharik, et al.
Published: (2024)

Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
by: Qin, Yao, et al.
Published: (2025)

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
by: Fu, Yuqian, et al.
Published: (2025)

CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers
by: Liao, Wenwen, et al.
Published: (2026)

Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
by: Askari, Fatemeh, et al.
Published: (2024)

Siamese Transformer Networks for Few-shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)

Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
by: Li, Mengyu, et al.
Published: (2025)

Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
by: Tang, Song, et al.
Published: (2024)

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
by: Wu, Han, et al.
Published: (2022)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning
by: Zhang, Zilun, et al.
Published: (2025)

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

Recurrent Few-Shot model for Document Verification
by: Talarmain, Maxime, et al.
Published: (2024)

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models
by: Zeng, Fanhu, et al.
Published: (2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
by: Yan, Zhonghao, et al.
Published: (2025)

Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
by: Jia, Yuyu, et al.
Published: (2024)

Predicate Hierarchies Improve Few-Shot State Classification
by: Jin, Emily, et al.
Published: (2025)

MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
by: He, Zeyu, et al.
Published: (2025)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
by: Tang, Hao, et al.
Published: (2024)

Bayesian Inverse Graphics for Few-Shot Concept Learning
by: Arriaga, Octavio, et al.
Published: (2024)

WEBEYETRACK: Scalable Eye-Tracking for the Browser via On-Device Few-Shot Personalization
by: Davalos, Eduardo, et al.
Published: (2025)

CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
by: Meng, Boyuan, et al.
Published: (2025)

Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval
by: Guo, Hongyu, et al.
Published: (2025)