Cover Image

Improved Few-Shot Image Classification Through Multiple-Choice Questions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khullar, Dipika, Goodman, Emmett, Sokhandan, Negin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Virtual Product Placement and Assessment in Images using Diffusion Models
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)

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

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

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

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

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

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

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

Flatness Improves Backbone Generalisation in Few-shot Classification
by: Li, Rui, et al.
Published: (2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

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

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

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
by: Mutlu, Abdulvahap, et al.
Published: (2025)

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)

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification
by: Nguyen, Anh-Tien, et al.
Published: (2025)

Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
by: Vashist, Chirag, et al.
Published: (2024)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

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

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

Benchmarking for Practice: Few-Shot Time-Series Crop-Type Classification on the EuroCropsML Dataset
by: Reuss, Joana, et al.
Published: (2025)

DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
by: Ayzenberg, Lev, et al.
Published: (2024)

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
by: Gupta, Akash, et al.
Published: (2025)

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

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification
by: Tam, Jason Kahei, et al.
Published: (2025)

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

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

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

SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
by: Jin, Qian, et al.
Published: (2025)

Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
by: Özdemir, Zeynep, et al.
Published: (2024)

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

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

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

Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
by: Eldeeb, Eslam, et al.
Published: (2024)

Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
by: Mozafari, Mohammad, et al.
Published: (2024)

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image
by: Amirkolaee, Hamed Amini, et al.
Published: (2024)

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

Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
by: Hu, Minyang, et al.
Published: (2024)

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
by: Tekin, Selim Furkan, et al.
Published: (2024)

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

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