Research map / Detection and segmentation / Open-set and few-shot detection
Cross-domain translation and pose
Handle cross-domain tasks through relation-aware teachers, image translation, and decomposition.
30 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2017–2026) · an approach in Open-set and few-shot detection, keyword cluster “domain · adaptation · adaptive object”
State History Tried 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.
7 papers in 2023–24 and 9 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 1.2% to 1.6%.
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
- 2017 · Learning to Align the Source Code to the Compiled Object Code (ICML 2017 · 11 citations)
- 2018 · ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes (CVPR 2018 · 333 citations)
- 2019 · Exploring Object Relation in Mean Teacher for Cross-Domain Detection (CVPR 2019 · 357 citations)
- 2020 · DUNIT: Detection-Based Unsupervised Image-to-Image Translation (CVPR 2020 · 78 citations)
- 2021 · Memory-Guided Unsupervised Image-to-Image Translation (CVPR 2021 · 42 citations)
- 2022 · Interactron: Embodied Adaptive Object Detection (CVPR 2022 · 31 citations)
- 2023 · Multiclass Confidence and Localization Calibration for Object Detection (CVPR 2023 · 28 citations)
- 2024 · Domain Separation Graph Neural Networks for Saliency Object Ranking (CVPR 2024 · 6 citations)
- 2025 · Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training (AAAI 2025 · 5 citations)
- 2026 · VeriTrail: Closed-Domain Hallucination Detection with Traceability (ICLR 2026 · 0 citations)
Earliest papers here
- Learning to Align the Source Code to the Compiled Object Code (ICML 2017 · 11 citations)
- ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes (CVPR 2018 · 333 citations)
- Exploring Object Relation in Mean Teacher for Cross-Domain Detection (CVPR 2019 · 357 citations)
What has been tried
25 papers here report 270 measured changes (a component added, removed or swapped, compared with a baseline): helped 81%, no clear effect 5%, hurt 11%, mixed 3%. Papers mostly publish changes that helped, so "helped" is over-represented.
Ablations in recent papers
| What was changed | Measured on | Result | Effect | Paper |
|---|---|---|---|---|
| Add texture information to shape-only features | ASSR ablation · SOR | 0.835 -> 0.836 | Helped | Domain Separation Graph Neural Networks for Saliency Object Ranking (CVPR 2024 · 6 citations) |
| Replace direct segmentation-mask pre-training with boundary distance-map pre-training using MSE | LFC validation · MRE | 2.14±0.05 -> 2.05±0.07 | Helped | Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training (AAAI 2025 · 5 citations) |
| Add semantic features and SAF without CDA | MegaDepth-1500 · AUC RANSAC @5° | 47.34 -> 47.35 | No clear effect | Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation (AAAI 2025 · 3 citations) |
| add shallow feature extractors | AIGC · mean AUC difference | +0.1425 | Helped | ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization (NeurIPS 2025 · 1 citation) |
| Add HM | FCS 4CC, Hospital 1→2 · mAP | 57.20 -> 69.16 | Helped | M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection (CVPR 2024 · 0 citations) |
Recent preprints
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Who publishes on it
Institutions on the most papers of this approach since 2023 (of 16 papers; from OpenAlex and the papers' affiliations).
- Mohamed bin Zayed University of Artificial Intelligence · 2 papers
Use it
Download BibTeX of 28 key papersOpen the topic in the interactive map
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Related approaches
Same keyword cluster
- Domain-adaptive object detection (103 papers)
- Domain-adaptive segmentation (27 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).