Image Retrieval on SOP
78.56Precision@1MCL + PRISM
Evaluation Results
| Method | Links | |
|---|---|---|
| MCL + PRISMNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 78.56 | |
| Memory Contrastive Loss (MCL)Noisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 75.61 | |
| MCL + PRISMNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 73.84 | |
| Soft TripleNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 73.63 | |
| Soft Triple + PRISMNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 70.99 | |
| CircleNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 70.33 | |
| Co-teaching w/ TemperatureNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 70.19 | |
| nSoftmaxNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 70 | |
| Soft Triple + PRISMNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 69.38 | |
| Memory Contrastive Loss (MCL)Noisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 68.71 | |
| Co-teaching w/ TemperatureNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 68.5 | |
| Contrastive LossNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 68.25 | |
| ProxyNCANoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 67.95 | |
| MSNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 67.32 | |
| Contrastive LossNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 64.27 | |
| Soft TripleNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 64.14 | |
| Co-teaching+Noisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 62.57 | |
| ProxyNCANoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 62.25 | |
| MSNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 62.17 | |
| Co-teachingNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 61.97 | |
| nSoftmaxNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 61.92 | |
| Co-teaching+Noisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 59.27 | |
| Co-teachingNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 58.08 | |
| FastAPNoisy Label Rate=25%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 52.18 | |
| FastAPNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 48.46 | |
| CircleNoisy Label Rate=50%, Label Noise Type=Small Cluster, Backbone=ResNet-50, Output Dimension=1282021.03 | 40.48 |