← Semi-Supervised Image Classification
Papers with Code · CC BY-SA 4.0

ImageNet - 10% labeled data

아카이브 평가 75건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
DHO (ViT-Large)
Top 1 Accuracy
85.9%
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
2025-05-12
코드 1
Meta Co-Training
Top 1 Accuracy
85.8%
Meta Co-Training: Two Views are Better than One
2023-11-29
코드 1
REACT (ViT-Large)
Top 1 Accuracy
85.1%
Learning Customized Visual Models with Retrieval-Augmented Knowledge
2023-01-17
코드 1
Semi-SST (ViT-Huge)
Top 1 Accuracy
84.9%
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
2025-05-31
연결 없음
Super-SST (ViT-Huge)
Top 1 Accuracy
84.8%
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
2025-05-31
연결 없음
Semi-ViT (ViT-Huge)
Top 5 Accuracy
96.6%
Top 1 Accuracy
84.3%
Semi-supervised Vision Transformers at Scale
2022-08-11
코드 1
Semi-ViT (ViT-Large)
Top 1 Accuracy
83.3%
Semi-supervised Vision Transformers at Scale
2022-08-11
코드 1
DHO (ViT-Base)
Top 1 Accuracy
82.8%
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
2025-05-12
코드 1
SimCLRv2 self-distilled (ResNet-152 x3, SK)
Top 5 Accuracy
95.5%
Top 1 Accuracy
80.9%
Big Self-Supervised Models are Strong Semi-Supervised Learners
2020-06-17
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
Super-SST (ViT-Small distilled)
Top 1 Accuracy
80.3%
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
2025-05-31
연결 없음
SimCLRv2 distilled (ResNet-50 x2, SK)
Top 5 Accuracy
95.0%
Top 1 Accuracy
80.2%
Big Self-Supervised Models are Strong Semi-Supervised Learners
2020-06-17
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
SimCLRv2 (ResNet-152 x3, SK)
Top 5 Accuracy
95.0%
Top 1 Accuracy
80.1%
Big Self-Supervised Models are Strong Semi-Supervised Learners
2020-06-17
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
Semi-ViT (ViT-Base)
Top 1 Accuracy
79.7%
Semi-supervised Vision Transformers at Scale
2022-08-11
코드 1
PAWS (ResNet-50 4x)
Top 1 Accuracy
79.0%
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
2021-04-28
코드 1 · 코드 2 · 코드 3 · 코드 4
SEER (RegNet10B)
Top 1 Accuracy
78.8%
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
2022-02-16
코드 1
Semi-SST (ViT-Small)
Top 1 Accuracy
78.6%
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
2025-05-31
연결 없음
Super-SST (ViT-Small)
Top 1 Accuracy
78.3%
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
2025-05-31
연결 없음
SEER Large (RegNetY-256GF)
Top 1 Accuracy
77.9%
Self-supervised Pretraining of Visual Features in the Wild
2021-03-02
코드 1
PAWS (ResNet-50 2x)
Top 1 Accuracy
77.8%
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
2021-04-28
코드 1 · 코드 2 · 코드 3 · 코드 4
SimCLRv2 distilled (ResNet-50)
Top 5 Accuracy
93.4%
Top 1 Accuracy
77.5%
Big Self-Supervised Models are Strong Semi-Supervised Learners
2020-06-17
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
Semi-ViT (ViT-Small)
Top 1 Accuracy
77.1%
Semi-supervised Vision Transformers at Scale
2022-08-11
코드 1
SEER Small (RegNetY-128GF)
Top 1 Accuracy
76.7%
Self-supervised Pretraining of Visual Features in the Wild
2021-03-02
코드 1
SimMatchV2 (ResNet-50)
Top 1 Accuracy
76.2%
SimMatchV2: Semi-Supervised Learning with Graph Consistency
2023-08-13
코드 1 · 코드 2
Semiformer (ViT-S + Conv)
Top 1 Accuracy
75.5%
Semi-Supervised Vision Transformers
2021-11-22
코드 1
PAWS (ResNet-50)
Top 1 Accuracy
75.5%
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
2021-04-28
코드 1 · 코드 2 · 코드 3 · 코드 4
TWIST (ResNet-50 x2)
Top 5 Accuracy
92.8%
Top 1 Accuracy
75.3%
Self-Supervised Learning by Estimating Twin Class Distributions
2021-10-14
코드 1 · 코드 2
SimMatch + EPASS (ResNet-50)
Top 5 Accuracy
92.6
Top 1 Accuracy
75.3%
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
2023-10-24
코드 1
SequenceMatch (ResNet-50)
Top 5 Accuracy
91.9
Top 1 Accuracy
75.2%
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
2023-10-24
코드 1
SimMatch (ResNet-50)
Top 1 Accuracy
74.4%
SimMatch: Semi-supervised Learning with Similarity Matching
2022-03-14
코드 1
CoMatch + EPASS (ResNet-50)
Top 5 Accuracy
91.5
Top 1 Accuracy
74.1%
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
2023-10-24
코드 1