| FFTAT |
- Accuracy
- 93.8
|
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation 2024-11-10 |
코드 1 · 코드 2 |
| RCL |
- Accuracy
- 93.2
|
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning 2024-05-28 |
코드 1 |
| MIC |
- Accuracy
- 92.8
|
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation 2022-12-02 |
코드 1 |
| SWG |
- Accuracy
- 92.7
|
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance 2023-12-07 |
코드 1 |
| CMKD |
- Accuracy
- 91.8
|
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 2024-04-19 |
코드 1 |
| DePT |
- Accuracy
- 90.7
|
Visual Prompt Tuning for Test-time Domain Adaptation 2022-10-10 |
연결 없음 |
| SDAT(ViT) |
- Accuracy
- 89.8
|
A Closer Look at Smoothness in Domain Adversarial Training 2022-06-16 |
코드 1 |
| SFDA2++ |
- Accuracy
- 89.6
|
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation 2024-03-16 |
코드 1 |
| PMtrans |
- Accuracy
- 88.8
|
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective 2023-03-23 |
연결 없음 |
| CoVi |
- Accuracy
- 88.5
|
Contrastive Vicinal Space for Unsupervised Domain Adaptation 2021-11-26 |
코드 1 |
| CDTrans |
- Accuracy
- 88.4
|
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 2021-09-13 |
코드 1 · 코드 2 |
| SFDA2 |
- Accuracy
- 88.1
|
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation 2024-03-16 |
코드 1 |
| FixBi |
- Accuracy
- 87.2
|
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation 2020-11-18 |
코드 1 |
| CAN |
- Accuracy
- 87.2
|
Contrastive Adaptation Network for Unsupervised Domain Adaptation 2019-01-04 |
코드 1 · 코드 2 |
| dSNE |
- Accuracy
- 86.15
|
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding 2019-06-01 |
코드 1 |
| CPGA |
- Accuracy
- 86.0
|
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation 2021-06-18 |
코드 1 |
| Mean teacher |
- Accuracy
- 85.4
|
Self-ensembling for visual domain adaptation 2017-06-16 |
코드 1 · 코드 2 · 코드 3 |
| MCC+NWD |
- Accuracy
- 83.7
|
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation 2022-04-08 |
코드 1 |
| SHOT |
- Accuracy
- 82.9
|
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation 2020-02-20 |
코드 1 · 코드 2 · 코드 3 |
| DTA |
- Accuracy
- 81.5
|
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation 2019-10-12 |
코드 1 |
| MRKLD + LRENT |
- Accuracy
- 78.1
|
Confidence Regularized Self-Training 2019-08-26 |
코드 1 · 코드 2 |
| CRST |
- Accuracy
- 78.1
|
Confidence Regularized Self-Training 2019-08-26 |
코드 1 · 코드 2 |
| SENTRY (ResNet50) |
- Accuracy
- 76.7
|
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation 2020-12-21 |
코드 1 · 코드 2 |
| SWD |
- Accuracy
- 76.4
|
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation 2019-03-10 |
코드 1 · 코드 2 |
| IAFN |
- Accuracy
- 76.1
|
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation 2018-11-19 |
코드 1 · 코드 2 · 코드 3 |
| CDAN |
- Accuracy
- 73.7
|
Conditional Adversarial Domain Adaptation 2017-05-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| DeepJDOT |
- Accuracy
- 66.9
|
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation 2018-03-27 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| JAN |
- Accuracy
- 58.3
|
Deep Transfer Learning with Joint Adaptation Networks 2016-05-21 |
코드 1 |