Image Retrieval on ImageNet-1k
73.23mAP@10HgVT-Ti
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HgVT-TiSearch Method=PS, Pooling strategy=Im&Ex, Top-1 Accuracy=76.182025.04 | 73.23 | 25.13 | |
| HgVT-TiSearch Method=VS, Pooling strategy=Im&Ex, Top-1 Accuracy=76.182025.04 | 73.08 | 25.22 | |
| HgVT-TiSearch Method=PS, Pooling strategy=Expert, Top-1 Accuracy=76.182025.04 | 70.56 | 21.22 | |
| HgVT-TiSearch Method=VS, Pooling strategy=Expert, Top-1 Accuracy=76.182025.04 | 70.53 | 21.25 | |
| HgVT-TiSearch Method=APS, Pooling strategy=Expert, Top-1 Accuracy=76.182025.04 | 69.59 | 19.1 | |
| HgVT-TiSearch Method=APS, Pooling strategy=Im&Ex, Top-1 Accuracy=76.182025.04 | 69.59 | 19.1 | |
| HgVT-TiSearch Method=AVS, Pooling strategy=Im&Ex, Top-1 Accuracy=76.182025.04 | 69.49 | 19.17 | |
| HgVT-TiSearch Method=AVS, Pooling strategy=Expert, Top-1 Accuracy=76.182025.04 | 69.4 | 19.56 | |
| MRL-128Search Method=APS, Pooling strategy=Image, Top-1 Accuracy=70.522025.04 | 65.2 | — | |
| MRL-256Search Method=APS, Pooling strategy=Image, Top-1 Accuracy=70.622025.04 | 65.2 | — | |
| MRL-256Search Method=PS, Pooling strategy=Image, Top-1 Accuracy=70.622025.04 | 65.04 | — | |
| MRL-128Search Method=PS, Pooling strategy=Image, Top-1 Accuracy=70.522025.04 | 64.94 | — | |
| OursOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=B⊥(ϕnew)/F(ϕold)2025.09 | 57.5 | 71.33 | |
| FastFillOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=ϕnew/F(ϕold)2025.09 | 57.43 | 69.47 | |
| OursOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/F(ϕold)2025.09 | 57.36 | 69.29 | |
| FastFillOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/F(ϕold)2025.09 | 57.22 | 67.76 | |
| Ind. Train.Old Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=ϕnew/ϕnew2025.09 | 54.9 | 71.6 | |
| OursOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=B⊥(ϕnew)/B⊥(ϕnew)2025.09 | 54.9 | 71.6 | |
| FCTOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=ϕnew/F(ϕold)2025.09 | 54.63 | 70.64 | |
| FCTOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/F(ϕold)2025.09 | 53.22 | 68.16 | |
| OursOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/ϕold2025.09 | 50.2 | 69.25 | |
| OursOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=B⊥(ϕnew)/ϕold2025.09 | 44.34 | 67.23 | |
| Ind. Train.Old Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=ϕold/ϕold2025.09 | 32.95 | 62.02 | |
| Ind. Train.Old Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=ϕnew/ϕold2025.09 | 0.16 | 0.11 | |
| FCTOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/ϕold2025.09 | 0.16 | 0.11 | |
| FastFillOld Model=DenseNet-121, New Model=EfficientNet-B3, Query/Gallery=F(ϕold)/ϕold2025.09 | 0.16 | 0.11 |