Retrieval on TU-Berlin Image Space
69.1A@T1Supervised
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SupervisedBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 69.1 | 74.7 | |
| Ours-(L)Backbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 47.7 | 59.1 | |
| BYOLBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 43.8 | 49.1 | |
| MoCoBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 42.5 | 46.9 | |
| SimCLRBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 41.5 | 46.7 | |
| CMCBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 38.5 | 45.2 | |
| RotationBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 36.4 | 41.8 | |
| CPCBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 36.4 | 43.1 | |
| JigsawBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 30.6 | 35.4 | |
| ContextBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 28.4 | 32.7 | |
| Deep ClusterBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 27.3 | 31.9 | |
| Auto-EncoderBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 15.3 | 20.4 | |
| RandomBackbone=ResNet-50, Input Space=Image Space, Evaluation Protocol=Linear model evaluation, Feature Status=Fixed pre-trained features2021.03 | 13.4 | 26.7 |