Cover Image

BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Al-Habib, Mohammed, Zhang, Zuping, Noman, Abdulrahman
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)

Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
by: Uddin, Mohammed Mudassir, et al.
Published: (2026)

Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
by: Qin, Anyong, et al.
Published: (2025)

Opacity-Gradient Driven Density Control for Compact and Efficient Few-Shot 3D Gaussian Splatting
by: Elrawy, Abdelrhman, et al.
Published: (2025)

Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
by: Vladymyrov, Max, et al.
Published: (2023)

AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens
by: Jajal, Purvish, et al.
Published: (2025)

Benchmarking Spurious Bias in Few-Shot Image Classifiers
by: Zheng, Guangtao, et al.
Published: (2024)

SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
by: Ataiefard, Foozhan, et al.
Published: (2024)

Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification
by: Kaushish, Anurag, et al.
Published: (2026)

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
by: Zhang, Ziyi, et al.
Published: (2025)

NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
by: Ansari, Amirhossein, et al.
Published: (2025)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)

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

BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla
by: Islam, Ariful, et al.
Published: (2025)

Object-Centric Cropping for Visual Few-Shot Classification
by: Abdali, Aymane, et al.
Published: (2025)

Activation Reward Models for Few-Shot Model Alignment
by: Chai, Tianning, et al.
Published: (2025)

Unlocking Compositional Generalization in Continual Few-Shot Learning
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)

BECLR: Batch Enhanced Contrastive Few-Shot Learning
by: Poulakakis-Daktylidis, Stylianos, et al.
Published: (2024)

XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
by: Zhang, Yu, et al.
Published: (2025)

Spectral Image Tokenizer
by: Esteves, Carlos, et al.
Published: (2024)

Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding
by: Zhang, Yiming, et al.
Published: (2024)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)

Tied Prototype Model for Few-Shot Medical Image Segmentation
by: Kim, Hyeongji, et al.
Published: (2025)

Towards Lifelong Few-Shot Customization of Text-to-Image Diffusion
by: Song, Nan, et al.
Published: (2024)

On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
by: Fang, Pengfei, et al.
Published: (2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning
by: Roy, Shuvendu, et al.
Published: (2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Bi-Level Unsupervised Feature Selection
by: Liu, Jingjing, et al.
Published: (2025)

BiGain: Unified Token Compression for Joint Generation and Classification
by: Liu, Jiacheng, et al.
Published: (2026)

Token Cropr: Faster ViTs for Quite a Few Tasks
by: Bergner, Benjamin, et al.
Published: (2024)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning
by: Zhou, Yiyun, et al.
Published: (2026)

Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
by: Monvoisin, Mathilde, et al.
Published: (2025)

Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
by: Li, Gengxu, et al.
Published: (2025)

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
by: Xu, Shijian
Published: (2025)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
by: Lee, Juntae, et al.
Published: (2025)

SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
by: Thengane, Vishal, et al.
Published: (2026)

Boosting Meta-Training with Base Class Information for Few-Shot Learning
by: Jiang, Weihao, et al.
Published: (2024)