Image Retrieval on Tokyo 24/7 (test)
92.9mAPCycleGAN CD
Evaluation Results
| Method | Links | |
|---|---|---|
| CycleGAN CDBackbone=ResNet-18, Paired day-night training=false2023.09 | 92.9 | |
| CycleGAN CDBackbone=ResNet-18, Paired day-night training data=false2023.09 | 92.9 | |
| HED^N GAN CDBackbone=ResNet-101, Paired day-night training data=false2023.09 | 92.2 | |
| CycleGAN CDBackbone=ResNet-101, Paired day-night training data=false2023.09 | 92 | |
| HEDNGAN CDBackbone=ResNet-18, Paired day-night training=false2023.09 | 91.6 | |
| HED^N GAN CDBackbone=ResNet-18, Paired day-night training data=false2023.09 | 91.6 | |
| RCFNGAN CDBackbone=ResNet-18, Paired day-night training=false2023.09 | 91.5 | |
| CycleGAN CDBackbone=VGG-16, Paired day-night training data=false2023.09 | 90.2 | |
| HOW N/DBackbone=ResNet-18, Paired day-night training=true2023.09 | 89.2 | |
| HOW N/DBackbone=ResNet-18, Paired day-night training data=true2023.09 | 89.2 | |
| HED^N GAN CDBackbone=VGG-16, Paired day-night training data=false2023.09 | 88.9 | |
| CIConvBackbone=ResNet-101, Paired day-night training data=false2023.09 | 88.3 | |
| HOWBackbone=ResNet-18, Paired day-night training=false2023.09 | 87.8 | |
| HOWBackbone=ResNet-18, Paired day-night training data=false2023.09 | 87.8 | |
| CLAHETraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 87 | |
| CLAHE N/D CBackbone=VGG-16, Paired day-night training data=true2023.09 | 87 | |
| Histogram equalizationTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 86.8 | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=joint, Descriptor Dimension=512D2019.08 | 86.5 | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=embedding, Descriptor Dimension=512D2019.08 | 86.4 | |
| EdgeMAC+VGGTraining Dataset=Retrieval-SfM, Descriptor Dimension=1024D2019.08 | 85.4 | |
| GeMBackbone=ResNet-101, Paired day-night training data=false2023.09 | 85 | |
| Gamma correctionTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 84.6 | |
| CLAHETraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 84.1 | |
| CLAHE CBackbone=VGG-16, Paired day-night training data=false2023.09 | 84.1 | |
| VGG GeMTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 83.5 | |
| GeM N/DBackbone=VGG-16, Paired day-night training data=true2023.09 | 83.5 | |
| CIConvBackbone=VGG-16, Paired day-night training data=false2023.09 | 83.3 | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=normalization, Descriptor Dimension=512D2019.08 | 83.2 | |
| U-Net normalizationTraining Dataset=Retrieval-SfM, Fine-tuning Setup=joint, Descriptor Dimension=512D2019.08 | 79.8 | |
| ViTGaLBackbone=XCiT-S24, Training Dataset=GLDv2, Result Source=Reproduced code2023.09 | 79.8 | |
| VGG GeMTraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 79.4 | |
| GeMBackbone=VGG-16, Paired day-night training data=false2023.09 | 79.4 | |
| EdgeMACTraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 75.9 | |
| DOLGBackbone=ResNet-101, Training Dataset=GLDv2, Result Source=Reproduced code2023.09 | 75.4 |