| HRDA + PiPa |
- mIoU (13 classes)
- 74.8
|
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation 2022-11-14 |
코드 1 |
| MIC |
- mIoU (13 classes)
- 74.0
|
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation 2022-12-02 |
코드 1 |
| HRDA |
- mIoU (13 classes)
- 72.4
|
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation 2022-04-27 |
코드 1 |
| SePiCo |
- mIoU (13 classes)
- 71.4
|
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation 2022-04-19 |
코드 1 |
| CAMix (w DAFormer) |
- mIoU (13 classes)
- 69.2
|
Context-Aware Mixup for Domain Adaptive Semantic Segmentation 2021-08-08 |
코드 1 |
| DAFormer + ProCST |
- mIoU (13 classes)
- 68.2
|
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer 2022-04-25 |
코드 1 |
| DAFormer |
- mIoU (13 classes)
- 67.4
|
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation 2021-11-29 |
코드 1 · 코드 2 · 코드 3 |
| TransDA-B |
- mIoU (13 classes)
- 66.3
|
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation 2022-03-15 |
코드 1 |
| CPSL |
- mIoU (13 classes)
- 65.3
|
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation 2022-03-18 |
코드 1 |
| ProDA+CRA |
- mIoU (13 classes)
- 63.7
|
Cross-Region Domain Adaptation for Class-level Alignment 2021-09-14 |
연결 없음 |
| ProDA |
- mIoU (13 classes)
- 62.0
|
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation 2021-01-26 |
코드 1 · 코드 2 |
| CAMix (w Deeplabv2 ResNet 101) |
- mIoU (13 classes)
- 59.7
|
Context-Aware Mixup for Domain Adaptive Semantic Segmentation 2021-08-08 |
코드 1 |
| IAST(ResNet-101) |
- mIoU (13 classes)
- 57.0
|
Instance Adaptive Self-Training for Unsupervised Domain Adaptation 2020-08-27 |
코드 1 · 코드 2 |
| PyCDA (ResNet-101) |
- mIoU (13 classes)
- 53.3
|
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach 2019-08-26 |
코드 1 |
| FADA (ResNet-101) |
- mIoU (13 classes)
- 52.5
|
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation 2020-07-17 |
코드 1 |
| Bidirectional Learning (ResNet-101) |
- mIoU (13 classes)
- 51.4
|
Bidirectional Learning for Domain Adaptation of Semantic Segmentation 2019-04-24 |
코드 1 · 코드 2 · 코드 3 |
| DADA (ResNet-101) |
- mIoU (13 classes)
- 49.8
|
DADA: Depth-aware Domain Adaptation in Semantic Segmentation 2019-04-03 |
코드 1 · 코드 2 |
| LRENT (DeepLabv2) |
- mIoU (13 classes)
- 48.7
|
Confidence Regularized Self-Training 2019-08-26 |
코드 1 · 코드 2 |
| SWD |
- mIoU (13 classes)
- 48.1
|
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation 2019-03-10 |
코드 1 · 코드 2 |
| ADVENT |
- mIoU (13 classes)
- 48
|
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation 2018-11-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Multi-level Adaptation |
- mIoU (13 classes)
- 46.7
|
Learning to Adapt Structured Output Space for Semantic Segmentation 2018-02-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 |
| Discriminative Patch (ResNet-101) |
- mIoU (13 classes)
- 46.5
|
Domain Adaptation for Structured Output via Discriminative Patch Representations 2019-01-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| Single-level Adaptation |
- mIoU (13 classes)
- 45.9
|
Learning to Adapt Structured Output Space for Semantic Segmentation 2018-02-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 |
| CAG-UDA |
- mIoU (13 classes)
- 44.5
|
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation 2019-10-29 |
코드 1 |
| Domain Invariant Structure Extraction |
- mIoU (13 classes)
- 41.5
|
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation 2019-03-26 |
코드 1 |
| superpixel + color constancy |
- mIoU (13 classes)
- 29.7
|
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes 2018-12-24 |
코드 1 · 코드 2 |
| CDA |
- mIoU (13 classes)
- 29.0
|
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes 2017-07-29 |
코드 1 |
| FCNs in the wild |
- mIoU (13 classes)
- 20.2
|
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation 2016-12-08 |
코드 1 · 코드 2 · 코드 3 |