Object Detection on Night Clear
43.3mAPPØDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PØDATarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10 | 43.3 | — | |
| Prompt-Driven Dynamic Object-Centric Learning2024.02 | 38.5 | — | |
| CLIP the GapCLIP pre-training=true, semantic augmentation=true2023.01 | 36.9 | — | |
| CLIP-Gap2024.02 | 36.9 | — | |
| CLIP The GapTarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10 | 36.9 | — | |
| Fine-tuning2026.03 | 36.86 | 69.4 | |
| S-DGOD2023.01 | 36.6 | — | |
| S-DGOD2024.02 | 36.6 | — | |
| S-DGODTarget data usage=Domain Generalization, Backbone=ResNet-101, Architecture=Faster R-CNN2024.10 | 36.6 | — | |
| Source2026.03 | 36.38 | 66.7 | |
| ABRA2026.03 | 35.94 | 66.11 | |
| FRBackbone=FasterRCNN, Pre-training=ImageNet2023.01 | 34.4 | — | |
| Faster-RCNN2024.02 | 34.4 | — | |
| SW2023.01 | 33.4 | — | |
| SW2024.02 | 33.4 | — | |
| ISW2023.01 | 33.2 | — | |
| ISW2024.02 | 33.2 | — | |
| IBN-Net2023.01 | 32.1 | — | |
| IBN-Net2024.02 | 32.1 | — | |
| IterNorm2023.01 | 29.6 | — | |
| IterNorm2024.02 | 29.6 | — | |
| Zero shot2026.03 | 27.5 | 49.63 | |
| Task Analogy2026.03 | 27.38 | 49.44 | |
| ParamΔ2026.03 | 4.86 | 8.01 | |
| DivAligntraining_domain=Daytime Sunny2024.05 | — | 42.5 | |
| Diversificationtraining_domain=Daytime Sunny2024.05 | — | 39.4 | |
| Faster R-CNNtraining_domain=Daytime Sunny2024.05 | — | 38.9 | |
| IBN-Nettraining_domain=Daytime Sunny2024.05 | — | 32.1 | |
| ISWtraining_domain=Daytime Sunny2024.05 | — | 33.2 | |
| IterNormtraining_domain=Daytime Sunny2024.05 | — | 29.6 | |
| SWtraining_domain=Daytime Sunny2024.05 | — | 33.4 | |
| Vidit et al.training_domain=Daytime Sunny2024.05 | — | 36.9 | |
| Wu et al.training_domain=Daytime Sunny2024.05 | — | 36.6 |