HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Semi Supervised Image Classification On Stl 1

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	Paper Title	Repository
ReMixMatch	93.82	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
MixMatch	89.82	MixMatch: A Holistic Approach to Semi-Supervised Learning
SWWAE	74.30	Stacked What-Where Auto-encoders
SimCLR (CoMatch)	77.46	CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Diff-SySC	99.36±0.20	Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification	-
DoubleMatch	95.65±0.20	DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
EnAET	91.96	EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
FixMatch (CTA)	94.83±0.63	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Semi-MMDC	95.22±0.29	Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
CC-GAN²	77.80	Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
NP-Match	94.53	NP-Match: When Neural Processes meet Semi-Supervised Learning

0 of 11 row(s) selected.