Image Retrieval on Street2Shop (train)
97.89Max Training AccuracyRanknet
Evaluation Results
| Method | Links | |
|---|---|---|
| RanknetLoss Type=Contrastive2019.03 | 97.89 | |
| MILDNet-ContrastiveLoss Type=Contrastive2019.03 | 95.69 | |
| VisnetLoss Type=Hinge2019.03 | 92.97 | |
| MILDNetLoss Type=Hinge2019.03 | 92.94 | |
| Visnet-LRN2DLoss Type=Hinge2019.03 | 92.87 | |
| MILDNet-512-No-DropoutLoss Type=Hinge2019.03 | 92.8 | |
| MILDNet-MobileNetLoss Type=Hinge2019.03 | 89.9 | |
| Multiscale-AlexnetLoss Type=Hinge2019.03 | 87.72 |