HyperAI超神经

首页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 Image Classification On Stl 10

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

模型名称	Accuracy	Paper Title	Repository
HUME	90.8	-	-
SCAN	80.90	SCAN: Learning to Classify Images without Labels
IIC	61.00	Invariant Information Clustering for Unsupervised Image Classification and Segmentation
MV-MR	89.67	MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
IPCL (ResNet18)	-	IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature Representation	-
ScatSimCLR	85.11	ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
TSUC	66.50	Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification	-
TURTLE (CLIP + DINOv2)	99.7	Let Go of Your Labels with Unsupervised Transfer
RUC	86.7	Improving Unsupervised Image Clustering With Robust Learning

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