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Domain Adaptation On Gta5 To Cityscapes

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
HALO77.8Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
DCF77.7Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
ILM-ASSL76.1Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
MIC75.9MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA+PiPa75.6PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
HRDA73.8HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
FREDOM - Transformer73.6FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
SePiCo70.3SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
DAFormer + ProCST69.4ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DAFormer68.3DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
MIC + Guidance Training67.0Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
TransDA-B63.9Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
DDB62.7Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
EHTDI*62.0Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
FREDOM - DeepLabV261.3FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
BiSMAP61.2Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
G2L59.7G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation-
FAFS58.8A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment-
ProDA+CRA58.6Cross-Region Domain Adaptation for Class-level Alignment-
ProDA57.5Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
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Domain Adaptation On Gta5 To Cityscapes | SOTA | HyperAI