Research map / Detection and segmentation / Open-set and few-shot detection
Domain-Specific Suppression for Adaptive Object Detection
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply DSS to source-only training | Faster R-CNN on Cityscapes → Foggy Cityscapes · Foggy Cityscapes val | mAP: 18.8 -> 39.8 | Helped |
| Add the UDA framework to DSS source-only training | DSS on Cityscapes → Foggy Cityscapes · Foggy Cityscapes val | mAP: 39.8 -> 40.9 | Helped |
| Add COCO pre-training to source-only DSS | DSS on Cityscapes → Foggy Cityscapes · Foggy Cityscapes val | mAP: 39.8 -> 47.8 | Helped |
| Add the UDA framework to COCO-pretrained DSS | DSS on Cityscapes → Foggy Cityscapes · Foggy Cityscapes val | mAP: 47.8 -> 52.0 | Helped |
| Apply DSS to source-only training | Faster R-CNN on KITTI → Cityscapes · Cityscapes, car | Car mAP: 34.6 -> 41.6 | Helped |
| Add the UDA framework to DSS source-only training | DSS on KITTI → Cityscapes · Cityscapes, car | Car mAP: 41.6 -> 42.7 | Helped |
| Add COCO pre-training to source-only DSS | DSS on KITTI → Cityscapes · Cityscapes, car | Car mAP: 41.6 -> 42.6 | Helped |
| Add the UDA framework to COCO-pretrained DSS | DSS on KITTI → Cityscapes · Cityscapes, car | Car mAP: 42.6 -> 59.2 | Helped |
| Apply DSS to source-only training | Faster R-CNN on SIM10K → Cityscapes · Cityscapes, car | Car mAP: 34.7 -> 42.0 | Helped |
| Add the UDA framework to DSS source-only training | DSS on SIM10K → Cityscapes · Cityscapes, car | Car mAP: 42.0 -> 44.5 | Helped |
| Add COCO pre-training to source-only DSS | DSS on SIM10K → Cityscapes · Cityscapes, car | Car mAP: 42.0 -> 49.8 | Helped |
| Add the UDA framework to COCO-pretrained DSS | DSS on SIM10K → Cityscapes · Cityscapes, car | Car mAP: 49.8 -> 58.6 | Helped |
Closest papers by meaning
- DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection (NeurIPS 2024 · similarity 0.90)
- Towards Unsupervised Model Selection for Domain Adaptive Object Detection (NeurIPS 2024 · similarity 0.89)
- Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework (AAAI 2024 · similarity 0.89)
- Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment (AAAI 2025 · similarity 0.89)
- CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection (CVPR 2024 · similarity 0.89)
- SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection (CVPR 2025 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.