Object Detection on SpaceDet Domain 2
83.48PrecisionOGD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OGDParadigm=Continual Learning2026.03 | 83.48 | 34.14 | 48.46 | 44.62 | |
| CWDParadigm=Continual Learning2026.03 | 78.51 | 30.4 | 43.83 | 44.18 | |
| EWCParadigm=Continual Learning2026.03 | 76.44 | 36.79 | 49.67 | 46.69 | |
| Deformable DETRDetector=Deformable DETR2026.03 | 53.87 | 44 | 48.44 | 40.31 | |
| Dual-Stage Invariant Continual LearningMethod Label=Ours2026.03 | 53.73 | 48 | 50.71 | 41.03 | |
| Shmelkov et al.Paradigm=Continual Learning2026.03 | 52.54 | 44 | 47.89 | 36.78 | |
| Joint TrainingTraining Paradigm=Joint multi-domain training2026.03 | 52.06 | 45 | 48.27 | 38.06 | |
| Single Domain 2Training Paradigm=Single-domain training (Domain 2)2026.03 | 48.98 | 44 | 46.36 | 36.32 | |
| YOLOv10mDetector=YOLOv10m2026.03 | 48.54 | 46 | 47.23 | 36.58 | |
| Sequential w/o CLTraining Paradigm=Sequential fine-tuning2026.03 | 44.25 | 47 | 45.59 | 36.18 | |
| Faster R-CNNDetector=Faster R-CNN2026.03 | 44.25 | 47 | 45.59 | 36.18 | |
| Single Domain 1Training Paradigm=Single-domain training (Domain 1)2026.03 | 41.85 | 41 | 41.42 | 31.52 | |
| CL-DETRParadigm=Continual Learning2026.03 | 24.5 | 24 | 24.25 | 7.14 | |
| DETRDetector=DETR2026.03 | 9.21 | 16 | 11.69 | 2.32 |