Image Retrieval on Street2Shop (test)
94.98Max Test AccuracyRanknet
Evaluation Results
| Method | Links | |
|---|---|---|
| RanknetLoss Type=Contrastive2019.03 | 94.98 | |
| MILDNet-ContrastiveLoss Type=Contrastive2019.03 | 93.69 | |
| Visnet-LRN2DLoss Type=Hinge2019.03 | 93.39 | |
| MILDNetLoss Type=Hinge2019.03 | 92.5 | |
| VisnetLoss Type=Hinge2019.03 | 92.42 | |
| MILDNet-512-No-DropoutLoss Type=Hinge2019.03 | 91.15 | |
| Multiscale-AlexnetLoss Type=Hinge2019.03 | 90.8 | |
| MILDNet-MobileNetLoss Type=Hinge2019.03 | 89.6 |