| DCF |
- MIoU (13 classes)
- 75.9
- MIoU (16 classes)
- 69.3
|
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation 2023-11-21 |
코드 1 · 코드 2 |
| HRDA+PiPa |
- MIoU (13 classes)
- 74.8
- MIoU (16 classes)
- 68.2
|
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation 2022-11-14 |
코드 1 |
| MIC |
- MIoU (13 classes)
- 74.0
- MIoU (16 classes)
- 67.3
|
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation 2022-12-02 |
코드 1 |
| CLUDA+HRDA |
- MIoU (16 classes)
- 67.2
|
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation 2022-08-27 |
코드 1 |
| HRDA |
- MIoU (13 classes)
- 72.4
- MIoU (16 classes)
- 65.8
|
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation 2022-04-27 |
코드 1 |
| SePiCo |
- MIoU (13 classes)
- 71.4
- MIoU (16 classes)
- 64.3
|
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation 2022-04-19 |
코드 1 |
| DAFormer + ProCST |
- MIoU (16 classes)
- 61.6
|
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer 2022-04-25 |
코드 1 |
| EHTDI* |
- MIoU (13 classes)
- 69.2
- MIoU (16 classes)
- 61.3
|
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation 2022-08-12 |
코드 1 |
| DAFormer |
- MIoU (13 classes)
- 67.4
- MIoU (16 classes)
- 60.9
|
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation 2021-11-29 |
코드 1 · 코드 2 · 코드 3 |
| Sepico + HIAST |
- MIoU (13 classes)
- 68.1
- MIoU (16 classes)
- 59.6
|
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation 2023-02-14 |
코드 1 |
| TransDA-B |
- MIoU (13 classes)
- 66.3
- MIoU (16 classes)
- 59.3
|
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation 2022-03-15 |
코드 1 |
| SePiCo (ResNet-101) |
- MIoU (13 classes)
- 66.5
- MIoU (16 classes)
- 58.1
|
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation 2022-04-19 |
코드 1 |
| EHTDI |
- MIoU (13 classes)
- 64.6
- MIoU (16 classes)
- 57.8
|
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation 2022-08-12 |
코드 1 |
| ProDA+CRA |
- MIoU (13 classes)
- 63.7
- MIoU (16 classes)
- 56.9
|
Cross-Region Domain Adaptation for Class-level Alignment 2021-09-14 |
연결 없음 |
| G2L |
- MIoU (13 classes)
- 64.4
- MIoU (16 classes)
- 56.8
|
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation 2022-09-07 |
연결 없음 |
| ProDA(ResNet-101) |
- MIoU (13 classes)
- 62.0
- MIoU (16 classes)
- 55.5
|
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation 2021-01-26 |
코드 1 · 코드 2 |
| CorDA(ResNet-101) |
- MIoU (13 classes)
- 62.8
- MIoU (16 classes)
- 55.0
|
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation 2021-04-28 |
코드 1 |
| AdaptSeg + HIAST |
- MIoU (13 classes)
- 60.3
- MIoU (16 classes)
- 53.5
|
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation 2023-02-14 |
코드 1 |
| SAC(ResNet-101) |
- MIoU (13 classes)
- 59.3
- MIoU (16 classes)
- 52.6
|
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation 2021-04-30 |
코드 1 |
| DSP(ResNet-101) |
- MIoU (13 classes)
- 59.9
- MIoU (16 classes)
- 51.0
|
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation 2021-07-20 |
코드 1 |
| Uncertainty + Adaboost (ResNet-101) |
- MIoU (13 classes)
- 57.5
- MIoU (16 classes)
- 50.4
|
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation 2021-03-29 |
코드 1 · 코드 2 |
| CLST(ResNet-101) |
- MIoU (13 classes)
- 57.8
- MIoU (16 classes)
- 49.8
|
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation 2021-05-05 |
연결 없음 |
| IAST(ResNet-101) |
- MIoU (13 classes)
- 57.0
- MIoU (16 classes)
- 49.8
|
Instance Adaptive Self-Training for Unsupervised Domain Adaptation 2020-08-27 |
코드 1 · 코드 2 |
| DACS(ResNet-101) |
- MIoU (13 classes)
- 54.81
- MIoU (16 classes)
- 48.34
|
DACS: Domain Adaptation via Cross-domain Mixed Sampling 2020-07-17 |
코드 1 · 코드 2 |
| Coarse-to-Fine(ResNet-101) |
- MIoU (13 classes)
- 55.5
- MIoU (16 classes)
- 48.2
|
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization 2021-03-24 |
연결 없음 |
| MRNet+Rectifying Label(ResNet-101) |
- MIoU (13 classes)
- 54.9
- MIoU (16 classes)
- 47.9
|
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation 2020-03-08 |
코드 1 · 코드 2 |
| PLCA (ResNet-101) |
- MIoU (13 classes)
- 54.0
- MIoU (16 classes)
- 46.8
|
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation 2020-10-31 |
코드 1 |
| ITEN |
- MIoU (16 classes)
- 46.45
|
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation 2021-07-13 |
연결 없음 |
| PixMatch(ResNet-101) |
- MIoU (13 classes)
- 54.5
- MIoU (16 classes)
- 46.1
|
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training 2021-05-17 |
코드 1 |
| MRNet + Adaboost (ResNet-101) |
- MIoU (13 classes)
- 52.9
- MIoU (16 classes)
- 45.9
|
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation 2021-03-29 |
코드 1 · 코드 2 |