HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Unsupervised Few Shot Image Classification On

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Accuracy
Paper TitleRepository
PsCo46.70Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
UBC-FSL57.1Shot in the Dark: Few-Shot Learning with No Base-Class Labels-
BECLR80.57BECLR: Batch Enhanced Contrastive Few-Shot Learning
UniSiam65.55Self-Supervision Can Be a Good Few-Shot Learner
CPNWCP53.56Contrastive Prototypical Network with Wasserstein Confidence Penalty
ArL41.08Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Deep Laplacian Eigenmaps59.47Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps-
HMS58.20Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
CSSL54.17Few-Shot Image Classification via Contrastive Self-Supervised Learning-
ULDA40.71Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
AAL37.67Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation-
AmdimNet46.13Self-Supervised Learning For Few-Shot Image Classification
U-MlSo+PN41.09Multi-level Second-order Few-shot Learning
TrainProto58.92Trainable Class Prototypes for Few-Shot Learning-
LF2CS53.14Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
UMTRA39.93Unsupervised Meta-Learning For Few-Shot Image Classification-
CACTU39.90Unsupervised Learning via Meta-Learning-
Meta-DM+UniSiam66.68Meta-DM: Applications of Diffusion Models on Few-Shot Learning-
ProtoTransfer45.67Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
C^3LR47.92Self-Supervised Class-Cognizant Few-Shot Classification
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