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Image Retrieval on Revisited Paris (RParis) (test)

69.4mAP (Medium)ResNet-101
60.24862.6246567.376Feb 3, 2023

Evaluation results

MethodLinks
ResNet-101Input Size=384 x 384, Backbone=R101, Pooling Layer=GeM, Dim=20482023.0269.445.8
SAIG-DInput Size=384 x 384, Backbone=SAIG-D, Pooling Layer=GAP, Dim=3842023.0268.242.3
ResNet-101Input Size=384 x 384, Backbone=R101, Pooling Layer=R-MAC, Dim=20482023.026641.4
SAIG-DInput Size=224 x 224, Backbone=SAIG-D, Pooling Layer=GAP, Dim=3842023.0265.941.2
ResNet-101Input Size=224 x 224, Backbone=R101, Pooling Layer=GeM, Dim=20482023.0263.437.3
ResNet-101Input Size=224 x 224, Backbone=R101, Pooling Layer=R-MAC, Dim=20482023.0262.636.5
ResNet-50Input Size=224 x 224, Backbone=R50, Pooling Layer=GeM, Dim=20482023.0261.235.9
ResNet-50Input Size=224 x 224, Backbone=R50, Pooling Layer=R-MAC, Dim=20482023.0260.635.4