HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Unsupervised Few Shot Image Classification On 3

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
BECLR	87.86	BECLR: Batch Enhanced Contrastive Few-Shot Learning
UniSiam	86.51	Self-Supervision Can Be a Good Few-Shot Learner
UBC-FSL	84.3	Shot in the Dark: Few-Shot Learning with No Base-Class Labels	-
PDA-Net	84.20	Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images	-
HMS	75.85	Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
LF2CS	66.59	Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space	-
SAMPTransfer (Conv4)	65.19	Self-Attention Message Passing for Contrastive Few-Shot Learning
PL-CFE	64.31	Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
CPNWCP	62.96	Contrastive Prototypical Network with Wasserstein Confidence Penalty	-
ArL	58.56	Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
U-MlSo	57.53	Multi-level Second-order Few-shot Learning
ULDA	56.78	Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation

0 of 12 row(s) selected.

Unsupervised Few Shot Image Classification On 3 | SOTA | HyperAI超神经