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SOTA
Image-to-Image Translation
Image To Image Translation On Synthia To
Image To Image Translation On Synthia To
Metrics
mIoU (13 classes)
Results
Performance results of various models on this benchmark
Columns
Model Name
mIoU (13 classes)
Paper Title
Repository
DAFormer
67.4
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
-
CAMix (w Deeplabv2 ResNet 101)
59.7
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
-
HRDA
72.4
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
-
LRENT (DeepLabv2)
48.7
Confidence Regularized Self-Training
-
Discriminative Patch (ResNet-101)
46.5
Domain Adaptation for Structured Output via Discriminative Patch Representations
-
ADVENT
48
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
-
IAST(ResNet-101)
57.0
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
-
Multi-level Adaptation
46.7
Learning to Adapt Structured Output Space for Semantic Segmentation
-
PyCDA (ResNet-101)
53.3
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
-
superpixel + color constancy
29.7
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
-
MIC
74.0
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
-
CDA
29.0
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
-
FADA (ResNet-101)
52.5
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
-
CAG-UDA
44.5
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
-
DAFormer + ProCST
68.2
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
-
TransDA-B
66.3
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
-
Domain Invariant Structure Extraction
41.5
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
-
HRDA + PiPa
74.8
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
-
CPSL
65.3
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
-
DADA (ResNet-101)
49.8
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
-
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