Papers › RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial...
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning
Feng Lv, Chunlong Xia, Shuo Wang, Huo Cao
Despite domain-adaptive object detectors based on CNN and transformers have made significant progress in cross-domain detection tasks, it is regrettable that domain adaptation for real-time transformer-based detectors has not yet been explored. Directly applying existing domain adaptation algorithms has proven to be suboptimal. In this paper, we propose RT-DATR, a simple and efficient real-time domain adaptive detection transformer. Building on RT-DETR as our base detector, we first introduce a local object-level feature alignment module to significantly enhance the feature representation of domain invariance during object transfer. Additionally, we introduce a scene semantic feature alignment module designed to boost cross-domain detection performance by aligning scene semantic features. Finally, we introduced a domain query and decoupled it from the object query to further align the instance feature distribution within the decoder layer, reduce the domain gap, and maintain discriminative ability. Experimental results on various benchmarks demonstrate that our method outperforms current state-of-the-art approaches. Our code will be released soon.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Unsupervised Domain Adaptation | BDD100k to Cityscapes | RT-DATR(real-time, 640x640，R-34) | mAP | 46.5 | #1 of 4 | Archive leaderboard | report |
| Unsupervised Domain Adaptation | Cityscapes to Foggy Cityscapes | RT-DATR(640x640, real-time) | mAP@0.5 | 52.7 | #2 of 22 | Archive leaderboard | report |
| Unsupervised Domain Adaptation | Kitti to Cityscapes | RT-DATR(real-time, 640x640) | mAP@0.5 | 50.3 | #1 of 2 | Archive leaderboard | report |
| Unsupervised Domain Adaptation | SIM10K to Cityscapes | RT-DATR(real-time, 640x640) | mAP@0.5 | 67.2 | #7 of 13 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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