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Unsupervised Few-Shot Image Classification

In contrast to (supervised) few-shot image classification, only the unlabeled dataset is available in the pre-training or meta-training stage for unsupervised few-shot image classification.

Papers

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Showing 11–20 of 28 papers

TitleStatusHype
Self-Supervised Class-Cognizant Few-Shot ClassificationCode0
Multi-level Second-order Few-shot LearningCode0
Unsupervised Meta-Learning via Latent Space Energy-based Model of Symbol Vector Coupling—0
Trainable Class Prototypes for Few-Shot Learning—0
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images—0
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-LearningCode1
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksCode0
Shot in the Dark: Few-Shot Learning with No Base-Class Labels—0
Few-Shot Image Classification via Contrastive Self-Supervised Learning—0
Self-Supervised Prototypical Transfer Learning for Few-Shot ClassificationCode1
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