Research map / Detection and segmentation / Open-set and few-shot detection
Domain-adaptive segmentation
Transfer segmentation across domains using pixel-level association and foundation models.
27 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2019–2026) · an approach in Open-set and few-shot detection, keyword cluster “domain · adaptation · adaptive object”
State History Tried Checklist Preprints Who Export
Where it stands
Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.
11 papers in 2023–24 and 5 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 1.9% to 0.9%.
How this is decided
A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.
How it got here
Most cited paper of each year
- 2019 · Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach (CVPR 2019 · 254 citations)
- 2020 · MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (CVPR 2020 · 174 citations)
- 2021 · DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation (CVPR 2021 · 180 citations)
- 2022 · Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation (CVPR 2022 · 103 citations)
- 2023 · HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation (CVPR 2023 · 54 citations)
- 2024 · Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation (CVPR 2024 · 101 citations)
- 2025 · S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging (AAAI 2025 · 2 citations)
- 2026 · Sparse All-Layer Connector for Domain Generalised Semantic Segmentation (NeurIPS 2026)
Earliest papers here
- Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach (CVPR 2019 · 254 citations)
- ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation (CVPR 2019 · 132 citations)
- MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (CVPR 2020 · 174 citations)
What has been tried
24 papers here report 270 measured changes (a component added, removed or swapped, compared with a baseline): helped 77%, no clear effect 4%, hurt 17%, mixed 1%. Papers mostly publish changes that helped, so "helped" is over-represented.
Ablations in recent papers
| What was changed | Measured on | Result | Effect | Paper |
|---|---|---|---|---|
| Add Rein core | GTAV → Cityscapes · mIoU | Freeze 56.5 -> Rein-core 63.4 | Helped | Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation (CVPR 2024 · 101 citations) |
| Add content enhancement at ×32 | Cityscapes→BDD-100K, Mapillary, GTA5, SYNTHIA · mIoU | 0.74%, 1.43%, 0.37%, 0.64% | Helped | Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation (AAAI 2024 · 50 citations) |
| Add LLM- and diffusion-generated data for self-training | GTA5 → {Cityscapes, BDD100K, Mapillary} · average mIoU | 58.5 -> 58.6 | No clear effect | Collaborating Foundation Models for Domain Generalized Semantic Segmentation (CVPR 2024 · 32 citations) |
| Add sliding window sampling | DensePASS ablation · mIoU | 15.88 -> 15.88 | Helped | GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation (CVPR 2024 · 16 citations) |
| Train with semantically meaningless rather than semantic parent groupings | Cityscapes val · mIoU | 80.28 -> 80.2 -> 79.86 | No clear effect | Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball (CVPR 2024 · 9 citations) |
| Replace Mask2Anomaly's default COCO OOD data with CG-Aug | RoadAnomaly · AP | 79.70 -> 85.47 | Helped | Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts (NeurIPS 2024 · 3 citations) |
| Add synthetic images without semantic consistency loss | Synapse and ACDC · Dice | 76.86 -> 77.61; 88.86 -> 89.66 | Helped | S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging (AAAI 2025 · 2 citations) |
| Fine-tune the restoration network to target data | ACDC-night-val · mIoU | 45.9 -> 47.0 | Helped | The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation (AAAI 2025 · 1 citation) |
| Add unlabeled target violent-rainfall images during training | ERF · mIoU (%) | 2.4 mIoU (%) | Helped | ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions (AAAI 2025 · 0 citations) |
| Add agent queries and Lsup to Rein | GTA5→Cityscapes, BDD100K, Mapillary (Avg.) · mIoU | 64.3 -> 65.4 | Helped | Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance (ICML 2025) |
What reviewers will expect
Datasets and baselines named in the 5 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.
Datasets
- Cityscapes · 4 of 5 papers
- ACDC · 3 of 5 papers
- BDD100K · 3 of 5 papers
- Mapillary · 2 of 5 papers
Baselines
- Rein · 3 of 5 papers
- HRDA · 2 of 5 papers
- HGFormer · 2 of 5 papers
- CLOUDS · 2 of 5 papers
Recent preprints
Loading recent arXiv preprints…
Who publishes on it
Institutions on the most papers of this approach since 2023 (of 16 papers; from OpenAlex and the papers' affiliations).
- University of Science and Technology of China · 2 papers
- Wuhan University · 2 papers
Use it
Download BibTeX of 26 key papersOpen the topic in the interactive map
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Related approaches
Same keyword cluster
- Domain-adaptive object detection (103 papers)
- Cross-domain translation and pose (30 papers)
Elsewhere in the topic
- Object-level representation learning (219 papers)
- Interactive and referring segmentation (161 papers)
- Open-set and unknown object detection (160 papers)
- Amodal and open-world instance segmentation (137 papers)
- Industrial anomaly detection (117 papers)
- Unsupervised object and part discovery (114 papers)
- Open-vocabulary object detection (96 papers)
- Open-vocabulary semantic segmentation (93 papers)
Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).