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SOTA
无监督少样本图像分类
Unsupervised Few Shot Image Classification On
Unsupervised Few Shot Image Classification On
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
Columns
模型名称
Accuracy
Paper Title
Repository
PsCo
46.70
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
UBC-FSL
57.1
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
-
BECLR
80.57
BECLR: Batch Enhanced Contrastive Few-Shot Learning
UniSiam
65.55
Self-Supervision Can Be a Good Few-Shot Learner
CPNWCP
53.56
Contrastive Prototypical Network with Wasserstein Confidence Penalty
ArL
41.08
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Deep Laplacian Eigenmaps
59.47
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
-
HMS
58.20
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
CSSL
54.17
Few-Shot Image Classification via Contrastive Self-Supervised Learning
-
ULDA
40.71
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
AAL
37.67
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
-
AmdimNet
46.13
Self-Supervised Learning For Few-Shot Image Classification
U-MlSo+PN
41.09
Multi-level Second-order Few-shot Learning
TrainProto
58.92
Trainable Class Prototypes for Few-Shot Learning
-
LF2CS
53.14
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
UMTRA
39.93
Unsupervised Meta-Learning For Few-Shot Image Classification
-
CACTU
39.90
Unsupervised Learning via Meta-Learning
-
Meta-DM+UniSiam
66.68
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
-
ProtoTransfer
45.67
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
C^3LR
47.92
Self-Supervised Class-Cognizant Few-Shot Classification
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