SOTAVerified

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

Showing 2128 of 28 papers

TitleStatusHype
Shot in the Dark: Few-Shot Learning with No Base-Class Labels0
Trainable Class Prototypes for Few-Shot Learning0
Self-Supervised Class-Cognizant Few-Shot ClassificationCode0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksCode0
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningCode0
Multi-level Second-order Few-shot LearningCode0
CMVAE: Causal Meta VAE for Unsupervised Meta-LearningCode0
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