Research map / Detection and segmentation / Open-set and few-shot detection
Adapting Object Detectors via Selective Cross-Domain Alignment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| apply selective region-level adversarial alignment | Faster R-CNN detector · Foggy-Cityscapes | mAP: 26.2 -> 33.8 | Helped |
| apply selective region-level adversarial alignment | Faster R-CNN detector · SIM-10k to Cityscapes | car AP: 33.96 -> 43.02 | Helped |
| apply selective region-level adversarial alignment | Faster R-CNN detector · KITTI to Cityscapes | car AP: 37.4 -> 42.5 | Helped |
| add region-level rather than whole-image alignment (ablation) | Faster R-CNN adaptation · Foggy-Cityscapes | mAP: 29.8 -> 33.8 | Helped |
| add discriminators for adversarial distribution alignment (ablation) | Faster R-CNN adaptation · Foggy-Cityscapes | mAP: 27.9 -> 33.5 | Helped |
| add generators to reconstruct region patches (ablation) | Faster R-CNN adaptation · Foggy-Cityscapes | mAP: 32.8 -> 33.5 | Helped |
| add a weighting estimator for target regions (ablation) | Faster R-CNN adaptation · Foggy-Cityscapes | mAP: 32.3 -> 33.5 | Helped |
| use ROI-based grouping instead of fixed-location regions (ablation) | Faster R-CNN adaptation · Foggy-Cityscapes | mAP: 31.5 -> 32.6; 30.4 -> 33.5 | Helped |
| vary the grouping configuration from Type1 to Type3 (ablation) | Selective cross-domain alignment · Foggy-Cityscapes | mAP: 32.6 -> 33.8 | Helped |
| vary the grouping configuration from Type1 to Type3 (ablation) | Selective cross-domain alignment · SIM-10k to Cityscapes | car AP: 41.97 -> 43.02 | Helped |
| vary the grouping configuration from Type2 to Type3 (ablation) | Selective cross-domain alignment · KITTI to Cityscapes | car AP: 41.9 -> 42.5 | Helped |
| apply region-level domain adaptation to instance segmentation | Mask R-CNN · Foggy-Cityscapes | mAP (Box): 32.8 -> 38.4 | Helped |
Closest papers by meaning
- Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment (CVPR 2024 · similarity 0.91)
- Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment (AAAI 2025 · similarity 0.90)
- Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework (AAAI 2024 · similarity 0.89)
- CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection (CVPR 2024 · similarity 0.89)
- Differential Alignment for Domain Adaptive Object Detection (AAAI 2025 · similarity 0.89)
- Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection (NeurIPS 2024 · similarity 0.89)
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