Table 5 Comparison of mAPs on Cars-196 under FGIR.
From: Learning optimal image representations through noise injection for fine-grained search
Method | LBP | HOG | ResNet18 (Pretrained) | Kumar et al.29 | Our method |
---|---|---|---|---|---|
mAP | 0.011 | 0.013 | 0.045 | 0.765 | 0.802 |
From: Learning optimal image representations through noise injection for fine-grained search
Method | LBP | HOG | ResNet18 (Pretrained) | Kumar et al.29 | Our method |
---|---|---|---|---|---|
mAP | 0.011 | 0.013 | 0.045 | 0.765 | 0.802 |