| 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 |